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Journal articles on the topic 'COMmunity interest based RECommendation system'

Author: Grafiati

Published: 26 October 2023

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1

Zhang, Hong, Dechu Ge, and Siyu Zhang. "Hybrid recommendation system based on semantic interest community and trusted neighbors." Multimedia Tools and Applications 77, no. 4 (2017): 4187–202. http://dx.doi.org/10.1007/s11042-017-4553-9.

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Zheng, Jianxing, Suge Wang, Deyu Li, and Bofeng Zhang. "Personalized recommendation based on hierarchical interest overlapping community." Information Sciences 479 (April 2019): 55–75. http://dx.doi.org/10.1016/j.ins.2018.11.054.

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Zheng, Jianxing, and Yanjie Wang. "Personalized Recommendations Based on Sentimental Interest Community Detection." Scientific Programming 2018 (August 5, 2018): 1–14. http://dx.doi.org/10.1155/2018/8503452.

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Communities have become a popular platform of mining interests for recommender systems. The semantics of topics reflect users’ implicit interests. Sentiments on topics imply users’ sentimental tendency. People with common sentiments can form resonant communities of interest. In this paper, a resonant sentimental interest community-based recommendation model is proposed to improve the accuracy performance of recommender systems. First, we learn the weighted semantics vector and sentiment vector to model semantic and sentimental user profiles. Then, by combining semantic and sentimental factors,

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Wenwen, Zhou. "Building an Urban Smart Community System Based on Association Rule Algorithms." Security and Communication Networks 2022 (July 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/8773259.

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Intelligent system development is an integral component of smart community development and has a significant impact on the development of smart communities. Some cities continue to implement personalized smart community services, resulting in the formation of smart city communities with unique characteristics. Urban smart communities are based on the principle of owner-occupant convenience, integrating a wealth of community information and making it more relevant to each and every resident through intelligent management. Increasing information transmission rates have enhanced the ability of sm

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Zhou, Tom, Hao Ma, Michael Lyu, and Irwin King. "UserRec: A User Recommendation Framework in Social Tagging Systems." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 1486–91. http://dx.doi.org/10.1609/aaai.v24i1.7524.

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Social tagging systems have emerged as an effective way for users to annotate and share objects on the Web. However, with the growth of social tagging systems, users are easily overwhelmed by the large amount of data and it is very difficult for users to dig out information that he/she is interested in. Though the tagging system has provided interest-based social network features to enable the user to keep track of other users' tagging activities, there is still no automatic and effective way for the user to discover other users with common interests. In this paper, we propose a User Recommend

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Gan, Mingxin, and Xiongtao Zhang. "Integrating Community Interest and Neighbor Semantic for Microblog Recommendation." International Journal of Web Services Research 18, no. 2 (2021): 54–75. http://dx.doi.org/10.4018/ijwsr.2021040104.

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As a typical characteristic of microblog information, short text length makes a microblog recommendation hard for new users. Moreover, user cold start makes it difficult to explore accurately the interests of microblog users. Therefore, the authors proposed a microblog recommendation model that integrates both of the users' interest from their communities and the semantic from their neighbors' microblogs. Based on the Kullback-Leibler (KL) language model, the proposed model estimated an interest-based language model and a microblog-based language model. Specifically, the interest-based languag

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Tang, Lei, Dandan Cai, Zongtao Duan, Junchi Ma, Meng Han, and Hanbo Wang. "Discovering Travel Community for POI Recommendation on Location-Based Social Networks." Complexity 2019 (February 12, 2019): 1–8. http://dx.doi.org/10.1155/2019/8503962.

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Point-of-interest (POI) recommendations are a popular form of personalized service in which users share their POI location and related content with their contacts in location-based social networks (LBSNs). The similarity and relatedness between users of the same POI type are frequently used for trajectory retrieval, but most of the existing works rely on the explicit characteristics from all users’ check-in records without considering individual activities. We propose a POI recommendation method that attempts to optimally recommend POI types to serve multiple users. The proposed method aims to

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Shokrzadeh, Zeinab, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar, and Jamshid Bagherzadeh Mohasefi. "Graph-Based Recommendation System Enhanced by Community Detection." Scientific Programming 2023 (August 21, 2023): 1–12. http://dx.doi.org/10.1155/2023/5073769.

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Many researchers have used tag information to improve the performance of recommendation techniques in recommender systems. Examining the tags of users will help to get their interests and leads to more accuracy in the recommendations. Since user-defined tags are chosen freely and without any restrictions, problems arise in determining their exact meaning and the similarity of tags. However, using thesaurus and ontologies to find the meaning of tags is not very efficient due to their free definition by users and the use of different languages in many data sets. Therefore, this article uses math

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Kumar, Akshi, and Saurabh Raj Sangwan. "Expert Finding in Community Question-Answering for Post Recommendation." International Journal of Engineering & Technology 7, no. 3.4 (2018): 151. http://dx.doi.org/10.14419/ijet.v7i3.4.16764.

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Community question answering system is a perfect example of platform where people participate to seek expertise on their topic of interest. But information overload, finding the expertise level of users and trustworthy answers remain key challenges within these communities. Moreover, people do not look for personal advices but expert views on such platforms therefore; expert finding is an integral part of these communities. In order to trust someone's opinion who is not known in person by the users of the community, it is necessary to find the credibility of such person. By determining experti

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Liu, Jing, and Yong Zhong. "Time-Weighted Community Search Based on Interest." Applied Sciences 12, no. 14 (2022): 7077. http://dx.doi.org/10.3390/app12147077.

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Community search aims to provide users with personalized community query services. It is a prerequisite for various recommendation systems and has received widespread attention from academia and industry. The existing literature has established various community search models and algorithms from different dimensions of social networks. Unfortunately, they only judge the representative attributes of users according to the frequency of attribute keywords, completely ignoring the temporal characteristics of keywords. It is clear that a user’s interest changes over time, so it is essential to sele

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Gede Dwidasmara, Ida Bagus, I. Gusti Ngurah Agung Widiaksa Putra, I. Made Widiartha, I. Wayan Santiyasa, Ida Bagus Made Mahendra, and Anak Agung Istri Ngurah Eka Karyawati. "SISTEM REKOMENDASI TEMPAT WISATA MENGGUNAKAN ALGORITMA CHEAPEST INSERTION HEURISTIC DAN NAÏVE BAYES." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 10, no. 2 (2022): 227. http://dx.doi.org/10.24843/jlk.2021.v10.i02.p05.

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Bali is one of the best tourism areas in Indonesia, as evidenced in 2016 Bali received a number of awards on the TripAdvisor Travelers Choice Award in global and Asian scope. However, the Corona virus outbreak from 2019, caused the tourism sector in Bali to decline, thus a solution is needed to restore the tourism sector in Bali, where one solution is to increase cultural tourism to the maximum, as the main attraction of tourist destinations in Bali. Bali. So the author proposes a tourism recommendation system, which aims to recommend tourist attractions that are suitable for tourists, which i

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Anandhan, Anitha, Maizatul Akmar Ismail, and Liyana Shuib. "EXPERT RECOMMENDATION THROUGH TAG RELATIONSHIP IN COMMUNITY QUESTION ANSWERING." Malaysian Journal of Computer Science 35, no. 3 (2022): 201–21. http://dx.doi.org/10.22452/mjcs.vol35no3.2.

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Community Question Answering (CQA) services are technical discussion forums websites on social media that serve as a platform for users to interact mainly via question and answer. However, users of this platform have posed dissatisfaction over the slow response and the preference for user domains due to the overwhelming information in CQA websites. Numerous past studies focusing on expert recommendation are solely based on the information available from websites where they rarely account for the preference of users’ domain knowledge. This condition prompts the need to identify experts for the

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Adraoui, Meriem, Sonia Souabi, Asmaâ Retbi, Mohammed Khalidi Idrissi, and Samir Bennani. "Towards a hybrid recommendation approach using a community detection and evaluation algorithm." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6718. http://dx.doi.org/10.11591/ijece.v13i6.pp6718-6728.

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<span lang="EN-US">In social learning platforms, community detection algorithms are used to identify groups of learners with similar interests, behavior, and levels. While, recommendation algorithms personalize the learning experience based on learners' profile information, including interests and past behavior. Combining these algorithms can improve the recommendation quality by identifying learners with similar needs and interests for more accurate and relevant suggestions. Community detection enhances recommendations by identifying groups of learners with similar needs and interests.

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Yuan-mei, WANG, WANG Ya-jun, and ZHAO Shi-bo. "Personalized Explainable Recommendation based on BERT." March 2023 5, no. 1 (2023): 24–38. http://dx.doi.org/10.36548/jaicn.2023.1.003.

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With the proliferation of text information on the Internet, the rapid evolution of artificial intelligence, and the wide application of machine learning and deep learning, text emotion analysis has been widely concerned by the academic community. Personalized recommendation system has emerged as the circumstances demanded, and has quickly gained interest in both industry and academic circles. It has gradually become an extremely important part of people's life and work in many fields, such as e-commerce, short video content, take-out service, online advertising push and so on. First, the Chine

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Zheng, Fangxia. "Personalized Education Based on Hybrid Intelligent Recommendation System." Journal of Mathematics 2022 (January 17, 2022): 1–9. http://dx.doi.org/10.1155/2022/1313711.

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Differentiated pedagogy is a flexible and organized adaptation of teaching and learning as it argues that students, even those of the same age, have differences in learning readiness, interests, learning style, experiences, and living circumstances. These differences are important in the determination of requirements of their learning and the way of effective learning. In addition, the foundation for effective learning is the sense of community within the classroom, the authentic learning opportunities of using educational equipment, and the connection of the lesson with the experiences and in

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Zhang, Pei Ying, Ya Jun Du, and Chang Wang. "Clustering Users According to Common Interest Based on User Search Behavior." Advanced Materials Research 143-144 (October 2010): 851–55. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.851.

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The paper presents a novel method to cluster users who share the common interest and discover their common interest domain by mining different users’ search behaviors in the user session, mainly the consecutive search behavior and the click sequence considering the click order and the syntactic similarity. The community is generated and this information will be used in the recommendation system in the future. Also the method is ‘content-ignorant’ to avoid the storage and manipulation of a large amount of data when clustering the web pages by content. The experiment proved it an available and e

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Kabutoya, Yutaka, Tomoharu Iwata, Hisako Shiohara, and Ko Fujimura. "Effective Question Recommendation Based on Multiple Features for Question Answering Communities." Proceedings of the International AAAI Conference on Web and Social Media 4, no. 1 (2010): 259–62. http://dx.doi.org/10.1609/icwsm.v4i1.14042.

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We propose a new method of recommending questions to answerers so as to suit the answerers’ knowledge and interests in User-Interactive Question Answering (QA) communities. A question recommender can help answerers select the questions that interest them. This increases the number of answers, which will activate QA communities. An effective question recommender should satisfy the following three requirements: First, its accuracy should be higher than the existing category-based approach; more than 50% of answerers select the questions to answer according a fixed system of categories. Second, i

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Liu, Jingtong, Huawei Yi, Yixuan Gao, and Rong Jing. "Personalized Point-of-Interest Recommendation Using Improved Graph Convolutional Network in Location-Based Social Network." Electronics 12, no. 16 (2023): 3495. http://dx.doi.org/10.3390/electronics12163495.

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Data sparsity limits the performance of point-of-interest (POI) recommendation models, and the existing works ignore the higher-order collaborative influence of users and POIs and lack in-depth mining of user social influence, resulting in unsatisfactory recommendation results. To address the above issues, this paper proposes a personalized POI recommendation using an improved graph convolutional network (PPR_IGCN) model, which integrates collaborative influence and social influence into POI recommendations. On the one hand, a user-POI interaction graph, a POI-POI graph, and a user–user graph

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Olshannikova, Ekaterina, Erjon Skenderi, Thomas Olsson, Sami Koivunen, and Jukka Huhtamäki. "Utilizing Structural Network Positions to Diversify People Recommendations on Twitter." Advances in Human-Computer Interaction 2022 (January 30, 2022): 1–17. http://dx.doi.org/10.1155/2022/6584394.

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Social recommender systems, such as “Who to follow” on Twitter, utilize approaches that recommend friends of a friend or interest-wise similar people. Such algorithmic approaches have been criticized for resulting in filter bubbles and echo chambers, calling for diversity-enhancing recommendation strategies. Consequently, this article proposes a social diversification strategy for recommending potentially relevant people based on three structural positions in egocentric networks: dormant ties, mentions of mentions, and community membership. In addition to describing our analytical approach, we

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Marquardt, Roberto, Juris Meija, Zoltán Mester, et al. "Definition of the mole (IUPAC Recommendation 2017)." Pure and Applied Chemistry 90, no. 1 (2018): 175–80. http://dx.doi.org/10.1515/pac-2017-0106.

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AbstractIn 2011 the General Conference on Weights and Measures (CGPM) noted the intention of the International Committee for Weights and Measures (CIPM) to revise the entire International System of Units (SI) by linking all seven base units to seven fundamental physical constants. Of particular interest to chemists, new definitions for the kilogram and the mole have been proposed. A recent IUPAC Technical Report discussed these new definitions in relation to immediate consequences for the chemical community. This IUPAC Recommendation on the preferred definition of the mole follows from this Te

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Shahbazi, Zeinab, Debapriya Hazra, Sejoon Park, and Yung Cheol Byun. "Toward Improving the Prediction Accuracy of Product Recommendation System Using Extreme Gradient Boosting and Encoding Approaches." Symmetry 12, no. 9 (2020): 1566. http://dx.doi.org/10.3390/sym12091566.

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With the spread of COVID-19, the “untact” culture in South Korea is expanding and customers are increasingly seeking for online services. A recommendation system serves as a decision-making indicator that helps users by suggesting items to be purchased in the future by exploring the symmetry between multiple user activity characteristics. A plethora of approaches are employed by the scientific community to design recommendation systems, including collaborative filtering, stereotyping, and content-based filtering, etc. The current paradigm of recommendation systems favors collaborative filterin

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Ge, Jun, Lei-lei Shi, Lu Liu, Hongwei Shi, and John Panneerselvam. "Intelligent Link Prediction Management Based on Community Discovery and User Behavior Preference in Online Social Networks." Wireless Communications and Mobile Computing 2021 (May 31, 2021): 1–13. http://dx.doi.org/10.1155/2021/3860083.

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Link prediction in online social networks intends to predict users who are yet to establish their network of friends, with the motivation of offering friend recommendation based on the current network structure and the attributes of nodes. However, many existing link prediction methods do not consider important information such as community characteristics, text information, and growth mechanism. In this paper, we propose an intelligent data management mechanism based on relationship strength according to the characteristics of social networks for achieving a reliable prediction in online soci

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Suhandi, Nazori, and Rendra Gustriansyah. "The Housing Recommendation System Uses Multi-Criteria Decision-Making Methods." Journal of Computer Networks, Architecture and High Performance Computing 5, no. 2 (2023): 552–62. http://dx.doi.org/10.47709/cnahpc.v5i2.2497.

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Economic and population growth, increasing urbanization, changing habits, new welfare requirements, and lower interest rates have led to increased demand for housing in cities. However, housing conditions in many cities are slightly alarming, while housing is a primary need for the community. Selecting housing for low-income people (LIP) that meets the criteria required by LIP is not an easy task. Because most of the decisions people made did not utilize detailed information. Therefore, a recommendation system for LIP is required. This study aims to develop the housing selection recommendation

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Xu, Chunyan. "A Personalized Recommender System Based on Library Database." International Journal of Emerging Technologies in Learning (iJET) 12, no. 12 (2017): 134. http://dx.doi.org/10.3991/ijet.v12i12.7964.

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In recent years, the university libraries in China have acquired increasingly abundant electronic resources. However, the information silo phenomenon appears due to the lack of connection between university IT system and the community. Based on the book borrowing, favourite collection, comments and social relationship of students, this paper digs into the personalized interests of students, and promotes the design and implementation of a personalized recommender system. Specifically, the overall framework and recommender engine of the system were created based on the library data services. The

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Lee, Danielle, and Peter Brusilovsky. "Recommending Talks at Research Conferences Using Users' Social Networks." International Journal of Cooperative Information Systems 23, no. 02 (2014): 1441003. http://dx.doi.org/10.1142/s0218843014410032.

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This paper investigates recommendation algorithms to suggest talks of interest to attendees of research conferences. In this study, based on a social conference support system Conference Navigator 3 (CN3), we explored three kinds of knowledge sources to generate recommendations: users' preference about talks (CN3 bookmarks), users' social networks (research collaboration network and CN3 following network) and talk content information (titles and abstracts). Using these sources, we explored a diverse set of algorithms from non-personalized community vote-based recommendations and conventional c

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Ben Zaken, Daniel, Kobi Gal, Guy Shani, Avi Segal, and Darlene Cavalier. "Intelligent Recommendations for Citizen Science." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 14693–701. http://dx.doi.org/10.1609/aaai.v35i17.17726.

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Citizen science refers to scientific research that is carried out by volunteers, often in collaboration with professional scientists. The spread of the internet has allowed volunteers to contribute to citizen science projects in dramatically new ways while creating scientific value and gaining pedagogical and social benefits. Given the sheer size of available projects, finding the right project, which best suits the user preferences and capabilities, has become a major challenge and is essential for keeping volunteers motivated and active contributors. We address this challenge by developing a

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Kusnadi, Adhi, and Edwin Kurniawan. "Implementation of Topsis Method In Web Based System Recommendations For Students Laptop Selection (Case Study: Bhinneka.com)." International Journal of New Media Technology 4, no. 1 (2017): 42–45. http://dx.doi.org/10.31937/ijnmt.v4i1.537.

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Computer needs at work are very helpful and make easier for human to complete his work. The usageof laptops growing rapidly with increasing mobility of the community who uses laptop to run the activities. In addition, laptop continues to update its technology with the variation of the specification so that it can attract the interest of consumers, especially for students, but the variety of laptops is confusing for some users to choose. Based on a survey that has been done to the students, it concluded that laptop is 80% more interesting than desktop computer. Some students really need a recom

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Homann, Leschek, Denis Mayr Lima Martins, Gottfried Vossen, and Karsten Kraume. "Enhancing Traditional Recommender Systems via Social Communities." Vietnam Journal of Computer Science 06, no. 01 (2019): 3–16. http://dx.doi.org/10.1142/s2196888819500040.

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Collaborative Filtering (CF) has become the most popular approach for developing Recommender Systems in diverse business applications. Unfortunately, problems such as the cold-start problem (i.e., new users or items enter the system and for those no previous preference information is available) and the gray sheep problem (i.e., cases in which a user profile does not match any other profile in the user community) are widely recognized for hindering recommendation effectiveness of traditional CF methods. To alleviate such problems, substantial research has focused on enhancing CF with social inf

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Hu, Yuheng, and Yili Hong. "SHEDR: An End-to-End Deep Neural Event Detection and Recommendation Framework for Hyperlocal News Using Social Media." INFORMS Journal on Computing 34, no. 2 (2022): 790–806. http://dx.doi.org/10.1287/ijoc.2021.1112.

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Residents often rely on newspapers and television to gather hyperlocal news for community awareness and engagement. More recently, social media have emerged as an increasingly important source of hyperlocal news. Thus far, the literature on using social media to create desirable societal benefits, such as civic awareness and engagement, is still in its infancy. One key challenge in this research stream is to timely and accurately distill information from noisy social media data streams to community members. In this work, we develop SHEDR (social media–based hyperlocal event detection and recom

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Bekemeier, Betty, and Seungeun Park. "Development of the PHAST model: generating standard public health services data and evidence for decision-making." Journal of the American Medical Informatics Association 25, no. 4 (2017): 428–34. http://dx.doi.org/10.1093/jamia/ocx126.

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Abstract Objective Standardized data regarding the distribution, quality, reach, and variation in public health services provided at the community level and in wide use across states and communities do not exist. This leaves a major gap in our nation’s understanding of the value of prevention activities and, in particular, the contributions of our government public health agencies charged with assuring community health promotion and protection. Public health and community leaders, therefore, are eager for accessible and comparable data regarding preventive services that can inform policy decis

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Kline, Cathy, Wafa Asadian, William Godolphin, Scott Graham, Cheryl Hewitt, and Angela Towle. "From “Academic Projectitis” to Partnership: Community Perspectives for Authentic Community Engagement in Health Professional Education." Engaged Scholar Journal: Community-Engaged Research, Teaching, and Learning 4, no. 1 (2018): 79–96. http://dx.doi.org/10.15402/esj.v4i1.310.

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Health professional education (HPE) has taken a problem-based approach to community service-learning with good intentions to sensitize future health care professionals to community needs and serve the underserved. However, a growing emphasis on social responsibility and accountability has educators rethinking community engagement. Many institutions now seek to improve community participation in educational programs. Likewise, many Canadians are enthusiastic about their health care system and patients, who are “experts by lived experience,” value opportunities to “give back” and improve health

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Semisa, Domenico, Antonio Lora, Pierluigi Morosini, and Mirella Ruggeri. "The SIEP-DIRECT's Project on the discrepancy between routine practice and evidence in the treatment of schizophrenia. The design, the indicators, and the methodology of the study." Epidemiology and Psychiatric Sciences 17, no. 4 (2008): 278–90. http://dx.doi.org/10.1017/s1121189x00000099.

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SUMMARYAims– The aims of the SIEP-DIRECT'S Project (DIscrepancy betweenRoutine practice andEvidence in psychiatricCommunityTreatments onSchizophrenia) are: 1) To evaluate the appropriateness of the NICE guidelines for schizophrenia in Italian Departments of Mental Health; 2) to develop and to test a set of SIEP indicators, based on the NICE recommendations, useful to evaluate their real application in mental health services.Methods– Based on the NICE recommendations, 103 indicators have been developed, some of them qualitative and the rest quantitative. These indicators investigate five differ

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Nurdin, Nurdin, Imam Suprayogi, Muhammad Shalahuddin, Ermiyati Ermiyati, Siswanto Siswanto, and Andre Novan. "Implementasi Model Soil dan Water Assessment Tool (SWAT) Dalam Pengelolaan Das Mikro Sei Tanduk." Dinamika Lingkungan Indonesia 10, no. 1 (2023): 38. http://dx.doi.org/10.31258/dli.10.1.p.38-44.

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The Soil and Water Assessment Tool (SWAT) model which is integrated with the Geographic Information System (GIS) can provide an overview or prediction of the influence of land management on the hydrology of the Micro Sei Tanduk watershed in accordance with the interests of evaluating and monitoring watershed management activities. The purpose of this study was to analyze the management of the Sei Tanduk Micro watershed based on land use patterns, as a basis for determining the best recommendations for planning and evaluating the Indragiri Rokan Watershed Management Project Activities for Fisca

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Lustig, Tracy. "Social Isolation and Loneliness: Strengthening Education and Training." Innovation in Aging 4, Supplement_1 (2020): 714. http://dx.doi.org/10.1093/geroni/igaa057.2514.

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Abstract This paper reviews recommendations for a variety of opportunities to improve education and training of the health care workforce on the health impacts of SIL and clinical approaches for assessment as well as testing different approaches for such education and training. The fifth goal of the NASEM study is to “strengthen ties between the health care system and community-based networks and resources.” Similar to other social determinants of health, addressing SIL will require coordinated efforts among a variety of stakeholders. This paper reviews recommendations for improving coordinati

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Paskali, Ljubomir, Lidija Ivanovic, and Dragan Ivanović. "Use analysis of the digital library of PhD dissertations defended at the University of Novi Sad." Electronic Library 39, no. 1 (2021): 97–117. http://dx.doi.org/10.1108/el-11-2019-0268.

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Purpose The purpose of this paper is to determine the digital library usage patterns as a means of improving the system, as well as the user experience, to give appropriate recognition to the most popular dissertations’ authors and to measure the interest of non-academic users for dissertations defended at the University of Novi Sad (UNS). Design/methodology/approach A logging module of the digital library of theses and dissertations of University of Novi Sad (PHD UNS) application has been implemented. The module recorded the messages relating to the search queries and downloads over a three-y

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Zoppis, Italo, Andrea Trentini, Sara Manzoni, et al. "Online Social Space Identification. A Computational Tool for Optimizing Social Recommendations." Applied Sciences 10, no. 9 (2020): 3024. http://dx.doi.org/10.3390/app10093024.

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Conscious and functional use of online social spaces can support the elderly with mind cognitive impairment (MCI) in their daily routine, not only for systematic monitoring, but to achieve effective targeted engagement. In this sense, although social involvement can be obtained when elder’s experiences, interests, and goals are shared and accepted by the community, an important subsistence for aging depends on the compelling information, users’ co-operation, and resource reliability. Unfortunately, applications aimed at optimizing the information content and the reliability of online users are

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Perez-Rodrigo, Carmen, Marta Gianzo Citores, Gotzone Hervás Bárbara, and Javier Aranceta-Bartrina. "Environmental Impact of Increased Adherence to SENC Food Based Dietary Guidelines in the Average Dietary Patterns in Spain." Current Developments in Nutrition 5, Supplement_2 (2021): 563. http://dx.doi.org/10.1093/cdn/nzab043_015.

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Abstract Objectives To analyze estimated changes in greenhouse gas (GHG) emission, cropland use and freshwater use of greater adherence to recommendations in Food-Based Dietary Guidelines (FBDG) issued by the Spanish Society of Community Nutrition (SENC) in average dietary patterns in Spain. Methods The data analyzed was drawn from the ENPE study (n = 6800), a cross-sectional study conducted on a random population sample of Spanish population (2015). Dietary intake data was collected by means of a validated 210-item quantitative food frequency questionnaire. A score of adherence to recommendat

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Meidl, Michael, Steven Lytinen, and Kevin Raison. "Using Game Reviews to Recommend Games." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 10, no. 4 (2021): 24–29. http://dx.doi.org/10.1609/aiide.v10i4.12752.

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We present a recommender system intended to be used by a community of gamers. The system uses free-form text reviews of games written by the members of the community, along with information about the games that a particular user likes, in order to recommend new games that are likely to be of interest to that user. The system uses the frequency of co-occurrence of word pairs that appear in the reviews of a game as features that represent the game. The pairs consist of adjectives and context words; i.e., words that appear close to an adjective in a review. Because of the extremely large number o

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Mariyam, Sabah, Logan Cochrane, Shifa Zuhara, and Gordon McKay. "Waste Management in Qatar: A Systematic Literature Review and Recommendations for System Strengthening." Sustainability 14, no. 15 (2022): 8991. http://dx.doi.org/10.3390/su14158991.

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Billions of tons of waste are generated annually, with the amount of waste rapidly increasing and its management expected to worsen. Qatar is a small and wealthy country in the Arabian Peninsula that is undergoing enormous economic and urban development. This study presents the results of a systematic literature review on waste management in Qatar and offers recommendations for system strengthening based on an analysis of the available evidence. The PRISMA guidelines were followed to review literature from the ProQuest and SCOPUS platforms, from which 82 unique publications were analyzed accor

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Galambos, Colleen, and James Lubben. "Social Isolation and Loneliness in Older Adults: A National Academies of Sciences, Engineering, and Medicine Report." Innovation in Aging 4, Supplement_1 (2020): 713. http://dx.doi.org/10.1093/geroni/igaa057.2511.

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Abstract Social isolation and loneliness (SIL) are serious yet underappreciated public health risks for many older adults (AARP, 2018a). Strong evidence suggests that, for older adults, social isolation and loneliness are associated with an increased likelihood of early death, dementia, heart disease, and more (AARP, 2018b, Holt-Lunstad and Smith, 2016). While all ages may experience SIL, older adults are at increased risk because they are more likely to face predisposing factors such as living alone, the loss of family or friends, chronic illness, and sensory impairments. Health care provider

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S. Bayne, Clarence, and Raafat G. Saade. "The Use of Complex Adaptive Theory and Information Technologies to Inform Development Strategies in English Speaking Black Community, Montreal." International Journal of Community Development and Management Studies 2 (2018): 061–86. http://dx.doi.org/10.31355/23.

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NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose................................................................................................................................................................................ The purpose of this paper is to conduct a multi-case/agent analysis using complexity theory to develop propositions that guide and inform our research for solutions to the problems of integration and full participation of the English-speaking Black community in the societies of Montreal and Quebec. Background...............................

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Anugrah, Rinasa Agistya. "Troubleshooting Analysis of CVT (Continuously Variable Transmission) System on Honda Beat Motorcycles." MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering 4, no. 1 (2021): 1–8. http://dx.doi.org/10.46574/motivection.v4i1.98.

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There are about 87% of motorcycles used by motorists on the streets are automatic type motorcycles which are dominated by Honda Beat. Seeing the interest of the world community about their interest in automatic motorcycles, it is necessary to conduct research to analyze the CVT (Continuously Variable Transmission) system on this motorcycle. The method used in this research is the troubleshooting analysis method. Troubleshooting is a method for observing symptoms, diagnosing damage, conducting inspections and measurements, identifying damage based on the results of inspections and measurements,

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Malami SarkinTudu, Shehu, Alawiyah Abd Wahab, and Huda H Ibrahim. "Predicting Key Predictors of Project Desertion in Blockchain: Experts’ Verification Using One-Sample T-Test." Interdisciplinary Journal of Information, Knowledge, and Management 17 (2022): 497–521. http://dx.doi.org/10.28945/5022.

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Aim/Purpose: The aim of this study was to identify the critical predictors affecting project desertion in Blockchain projects. Background: Blockchain is one of the innovations that disrupt a broad range of industries and has attracted the interest of software developers. However, despite being an open-source software (OSS) project, the maintenance of the project ultimately relies on small core developers, and it is still uncertain whether the technology will continue to attract a sufficient number of developers. Methodology: The study utilized a systematic literature review (SLR) and an expert

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Wernigg, R., M. D. Toth, and A. Sumegi. "Demonstrating the methodology of a pilot programme for establishing a system for mental health promotion in Hungary." European Psychiatry 41, S1 (2017): S741—S742. http://dx.doi.org/10.1016/j.eurpsy.2017.01.1368.

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IntroductionA 12 month long mental health promotion pilot programme in Hungary, funded by the Norway Grants, will finish on 30th April 2017.AimsTo launch six community mental health promotion centers (MHPCs) located in various economic environments, supervised by one Methodological Center plus expert teams and carrying out studies on the effectiveness of the launch of the system. The final recommendations will constitute a basis for setting up a national network for mental health promotion.ObjectivesTo develop a sustainable model for establishing a national network of MHPCs; to map and record

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Lukin, A., and O. Pugacheva. "Korea in the Early 21st Century and Russia’s Interests." International Trends / Mezhdunarodnye protsessy 18, no. 4 (2020): 143–57. http://dx.doi.org/10.17994/it.2020.18.4.63.6.

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The article is a response to a new, pioneering book Modern Korea. Metamorphoses of Turbulent Years (2008–2020) written by a group of leading Russian experts on Korea from MGIMO University: Anatoly Torkunov, Georgy Toloraya, and Ilya Dyachkov. The book is a valuable addition to the existing literature and a product of a unique approach to modern Korean studies conducted at MGIMO. The article examines and develops the comprehensive analysis provided by MGIMO professors, point out pressing issues on the Korean Peninsula and assess Russia’s potential role in solving them. The fact that the goal of

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V. Tselyutina, Tatyana, Tatyana A. Vlasova, Olga A. Timokhina, and Yana V. Maslova. "CONVERGENCE OF INSTITUTES OF FUNCTIONAL REPRESENTATION OF GROUP INTERESTS UNDER TRANSFORMATION OF SOCIAL PROCESSES, QUALITY OF LIFE, AND HUMAN CAPITAL." Humanities & Social Sciences Reviews 7, no. 6 (2019): 111–17. http://dx.doi.org/10.18510/hssr.2019.7624.

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Purpose: This article substantiates the influence of mechanisms, methods, and technologies of a functional representation of group interests on the strategic management of socio-economic processes in the context of geopolitical turbulence. Methodology: The work defines the socio-stratification basis for the representation of group interests, their role as subjects of representation in the modern system of management of social processes, the features of the convergence of functional representation of various interest groups, first of all, the multiform structures of the consulting and exp

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Corder-Mabe, Joan, Shirley Johnson, Wally R. Smith, Daniel Sop Mouaffo, and Thokozeni Lipato. "Development of a Framework to Describe Roles and Responsibilities for Sickle Cell Community Health Workers." Blood 132, Supplement 1 (2018): 5831. http://dx.doi.org/10.1182/blood-2018-99-114944.

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Abstract Background: Evidence is mounting for the effectiveness of community health workers (CHWs) at improving processes and outcomes of care in sickle cell disease (SCD) and other chronic diseases. But recognition is stymied by over 60 titles currently used for CHWs, by variable CHW roles and responsibilities in SCD and other disease entities, and by variations in populations and communities served by CHWs. Herein, we use an evidence review and consensus to advance a common framework and uniform definition of the functions of CHWs, that differentiates CHW roles and responsibilities. We offer

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Obidoa, Mabel. "Infusing Talent Development Strategies into the Regular School System in Nigeria: Enrichment Clusters as a Starting Point." Gifted Education International 17, no. 3 (2003): 297–312. http://dx.doi.org/10.1177/026142940301700312.

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Developing talents has been a great concern in education. New conceptions of intelligence are revolutionizing educational practices. Because giftedness can occur in certain people at certain times and under certain conditions, (Renzulli & Reis, 1985), it is necessary to extend the pedagogy for the gifted to regular classrooms. The enrichment cluster was chosen for this study for multiple reasons. This study used qualitative case study design to investigate the use of enrichment clusters as a starting point to infuse talent development strategies into the school system in Nigeria. The sampl

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Kulyasova, E. V., and P. V. Trifonov. "DEVELOPMENT OF FORMS OF INTERACTION BETWEEN UNIVERSITIES AND THE BUSINESS COMMUNITY IN THE DIGITAL ECONOMY." Strategic decisions and risk management 11, no. 2 (2020): 216–23. http://dx.doi.org/10.17747/2618-947x-2020-2-216-223.

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The article is devoted to the construction of a model of interaction of economic entities using the method of project work of participants in the system “enterprise/employer-University – state” on the technological platform of the meta-University in the conditions of digitalization of the economy, which allows to increase the synergy effect of the interaction of the main institutional participants.In the context of the impact of digitalization processes on the transformation of behavioral models within the existing economic relations in the VUCA world, new requirements and ways of interaction

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Paksi, Arie Kusuma, Nanik Prasetyoningsih, and Dianita Sugiyo. "Tobacco Control Politics in Indonesia: Regional and Global Perspective." Nation State Journal of International Studies 2, no. 2 (2019): 187–209. http://dx.doi.org/10.24076/nsjis.2019v2i2.166.

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The study examines tobacco control policies of Indonesia, national and international players, the role of political elite and social demography of smoking. The analysis explains the relation of national and international players associated with the tobacco industry, interest of local community, structural and political powers that limit the legislation on tobacco control. The current situation of smoking and tobacco use in the social system of Indonesia is alarming. Indonesia is the working ground of different multinational brands that have industries and production units of cigarettes. The ec

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