Relevant bibliographies by topics / Users’ preferences

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Users’ preferences'

Author: Grafiati
Published: 10 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Users’ preferences"

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Shi, Yancui, Jianhua Cao, Congcong Xiong, and Xiankun Zhang. "A Prediction Method of Mobile User Preference Based on the Influence between Users." International Journal of Digital Multimedia Broadcasting 2018 (July 19, 2018): 1–12. http://dx.doi.org/10.1155/2018/8081409.

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User preference will be impacted by other users. To accurately predict mobile user preference, the influence between users is introduced into the prediction model of user preference. First, the mobile social network is constructed according to the interaction behavior of the mobile user, and the influence of the user is calculated according to the topology of the constructed mobile social network and mobile user behavior. Second, the influence between users is calculated according to the user’s influence, the interaction behavior between users, and the similarity of user preferences. When calc
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Park, Han-Saem, Moon-Hee Park, and Sung-Bae Cho. "Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network." International Journal of Information Technology & Decision Making 14, no. 02 (2015): 317–38. http://dx.doi.org/10.1142/s0219622015500017.

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The advancement of network technology and the popularization of the Internet lead to increased interest in information recommendation. This paper proposes a group recommendation system that takes the preferences of group users in mobile environment and applies the system to recommendation of restaurants. The proposed system recommends the restaurants by considering various preferences of multiple users. To cope with the uncertainty in mobile environment, we exploit Bayesian network, which provides reliable performance and models individual user's preference. Also, Analytical Hierarchy Process
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Luo, Mingshi, Xiaoli Zhang, Jiao Li, Peipei Duan, and Shengnan Lu. "User Dynamic Preference Construction Method Based on Behavior Sequence." Scientific Programming 2022 (July 22, 2022): 1–15. http://dx.doi.org/10.1155/2022/6101045.

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People’s needs are constantly changing, and the performance of traditional recommendation algorithms is no longer enough to meet the demand. Considering that users’ preferences change with time, the users’ behavior sequence hides the evolution and change law of users’ preferences, so mining the dependence of the users’ behavior sequence is extremely important to predict users’ dynamic preferences. From the perspective of constructing users’ dynamic preferences, this paper proposes a users’ dynamic preference model based on users’ behavior sequences. Firstly, the user’s interest model is divide
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Huiyuan Li, Zhengang Li, Tao Jin, et al. "Convolution Serialization Recommendation with Time Characteristics and User Preferences." International Journal of Advanced Networking and Applications 15, no. 06 (2024): 6156–62. http://dx.doi.org/10.35444/ijana.2024.15601.

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The recommendation system has been widely used in life, which greatly facilitates people's life. The traditional recommendation method is mainly used to analyze the interaction between users and items. analyze the history of users and items, and get only the users' preferences for items in the past. The serialization recommendation system analyzes the sequence of users interacting with objects in a recent period of time. To consider the relevance of the user's before and after behavior, can obtain the user's preference for items in the short term. However, the serialization method emphasizes t
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Amin, Ruhul, Taufik Djatna, Annisa Annisa, and Imas Sukaesih Sitanggang. "SKYLINE QUERY BASED ON USER PREFERENCES IN CELLULAR ENVIRONMENTS." JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) 9, no. 1 (2023): 143–53. http://dx.doi.org/10.33480/jitk.v9i1.4192.

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The recommendation system is an important tool for providing personalized suggestions to users about products or services. However, previous research on individual recommendation systems using skyline queries has not considered the dynamic personal preferences of users. Therefore, this study aims to develop an individual recommendation model based on the current individual preferences and user location in a mobile environment. We propose an RFM (Recency, Frequency, Monetary) score-based algorithm to predict the current individual preferences of users. This research utilizes the skyline query m
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Žnidaršič, Martin, Aljaž Osojnik, Peter Rupnik, and Bernard Ženko. "Improving Effectiveness of a Coaching System through Preference Learning." Technologies 10, no. 1 (2022): 24. http://dx.doi.org/10.3390/technologies10010024.

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The paper describes an approach for indirect data-based assessment and use of user preferences in an unobtrusive sensor-based coaching system with the aim of improving coaching effectiveness. The preference assessments are used to adapt the reasoning components of the coaching system in a way to better align with the preferences of its users. User preferences are learned based on data that describe user feedback as reported for different coaching messages that were received by the users. The preferences are not learned directly, but are assessed through a proxy—classifications or probabilities
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Wu, Li, and Ma. "A Comparative Study of Spatial and Temporal Preferences for Waterfronts in Wuhan based on Gender Differences in Check-In Behavior." ISPRS International Journal of Geo-Information 8, no. 9 (2019): 413. http://dx.doi.org/10.3390/ijgi8090413.

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The geographical location and check-in frequency of social platform users indicate their personal preferences and intentions for space. On the basis of social media data and gender differences, this study analyzes Weibo users’ preferences and the reasons behind these preferences for the waterfronts of the 21 major lakes within Wuhan’s Third Ring Road, in accordance with users’ check-in behaviors. According to the distribution characteristics of the waterfronts’ points of interest, this study explores the preferences of male and female users for waterfronts and reveals, through the check-in beh
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Thijssen, Kirsten, Marion Vlemminx, Michelle Westerhuis, Jeanne Dieleman, M. Beatrijs Van der Hout-Van der Jagt, and S. Guid Oei. "Uterine Monitoring Techniques from Patients' and Users' Perspectives." American Journal of Perinatology Reports 08, no. 03 (2018): e184-e191. http://dx.doi.org/10.1055/s-0038-1669409.

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Objective To evaluate preferences from patients and users on 3 uterine monitoring techniques, during labor. Study Design Women in term labor were simultaneously monitored with the intrauterine pressure catheter, the external tocodynamometer, and the electrohysterograph. Postpartum, these women filled out a questionnaire evaluating their preferences and important aspects. Nurses completed a questionnaire evaluating users' preferences. Results Of all 52 participating women, 80.8% preferred the electrohysterograph, 17.3% the intrauterine pressure catheter and 1.9% the external tocodynamometer. Fo
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Stroud, Laura, Erika Werner, Kristen Matteson, et al. "Waterpipe (hookah) tobacco use in pregnancy: use, preferences and perceptions of flavours." Tobacco Control 29, Suppl 2 (2019): s62—s71. http://dx.doi.org/10.1136/tobaccocontrol-2019-054984.

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ObjectiveWaterpipe tobacco (WPT; hookah) use is common in pregnant and reproductive-age women. Sweet flavours contribute to the appeal of WPT and are a potential regulatory target. This study investigated use, preferences and perceptions of WPT flavours in pregnant WPT users, and the impact of flavour preferences on preconception/prenatal WPT use and exposure biomarkers.Methods58 pregnant WPT users (mean age=27 years) completed a detailed interview regarding their WPT flavours use, preferences and perceptions. Biomarkers of nicotine and carcinogen exposure (eg, cotinine, benzene, butadiene) we
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Roy, Senjuti Basu, Baruch Schieber, and Nimrod Talmon. "Fairness in Preference Queries: Social Choice Theories Meet Data Management." Proceedings of the VLDB Endowment 17, no. 12 (2024): 4225–28. http://dx.doi.org/10.14778/3685800.3685841.

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Given a large number (notationally m ) of users' (members or voters) preferences as inputs over a large number of items or candidates (notationally n ), preference queries leverage different preference aggregation methods to aggregate individual preferences in a systematic manner and come up with a single output (either a complete order or top- k , ordered or unordered) that is most representative of the users' preferences. The goal of this 1.5 hour lecture style tutorial is to adapt different preference aggregation methods from social choice theories, summarize how existing research has handl
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Dissertations / Theses on the topic "Users’ preferences"

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Shin, Jongu. "Modeling users' powertrain preferences." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62670.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 79).<br>Our goal is to construct a system that can determine a drivers preferences and goals and perform appropriate actions to aid the driver achieving his goals and improve the quality of his road behavior. Because the recommendation problem could be achieved effectively once we know the driver's intention, in this thesis, we are going to solve the problem to determine the driver's preferences.
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Recalde, Lorena. "Modeling users preferences in online social networks." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663756.

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L'objectiu d'aquesta tesi és desenvolupar nous i diversos mètodes per modelar les preferències dels usuaris a les Xarxes Socials Online. Els mètodes proposats tenen com a finalitat ser aplicats en àrees de recerca com la Personalització o Recomanació d'ítems i la Detecció de Grups d'Usuaris amb gustos similars. Aquests mètodes poden ser agrupats en dos tipus: i) mètodes basats en tècniques d'anàlisi de textos (Part I, Capítols del 3 al 5) i ii) mètodes basats en teoria de grafs (Part II, Capítols 6 i 7). Amb els mètodes plantejats a la Part I és possible determinar el nivell d'interès dels
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MacBean, Anna Ruth. "Apparent Preferences of Beach Users at Virginia Beach Resort Zone." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/19299.

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After compiling an appropriate list of beach criteria from established award programs and experts, the research landscape architect observed the Virginia Beach Resort Zone for areas of intense beach user activity.  The resulting analysis of these "hot-spots" indicated that urban resort beach users visiting the recreational beach during high-use times tended to gravitate toward locations on the resort beach which were close to three needs:  public parking, public restrooms, and inexpensive refreshments.  This pattern shows the apparent preferences of many beach users for certain amenities.<br>M
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Mignot, Helen R. "Users and accounting information preferences of government department financial reports." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1996. https://ro.ecu.edu.au/theses/936.

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The introduction of an accounting standard requiring government departments to replace fund-type, cash-based accounting statements with business-type, accrual based accounting statements has led to criticism that business-type, general purpose financial statements do not take account of the information requirements of major users. Such criticism echoes a long standing debate in which the users of public sector financial statements and their informational requirements are analysed in competing models. One view suggests that there are many users with homogeneous informational needs, who can be c
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Bhoompally, Rohit. "Analysis of business ranking for a connected group of Yelp users by aggregating preference pairs." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439308101.

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Seymour, Zakiya Ayo-Zahra. "Understanding what sanitation users value - examining preferences and behaviors for sanitation systems." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52168.

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Over the last two decades, sanitation policy and development has undergone a paradigm shift away from heavily-subsidized, supply-driven approaches towards behavioral-based demand-driven approaches. These current approaches to increase sanitation demand are multi-faceted, requiring multiple stakeholders with varying degrees of interest, knowledge, and capacity. Although efforts exist to increase sanitation access by incorporating engineering design principles with implementation planning approaches, these groups generally work independently without strong connections, thus reducing the potenti
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SANCHEZ, ODNAN REF. "A Framework to Support Users’ Privacy Preferences in the Proliferation of IoT." Doctoral thesis, Università degli studi di Genova, 2019. http://hdl.handle.net/11567/945921.

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In the proliferation of personal IoT devices, the need for privacy protection becomes an increasing concern. User’s privacy preferences are not being respected in today’s complex IoT scenario, as data sharing among applications becomes a growing phenomenon. The increasing number of applications, IoT devices and list of user’s personal data make the setting of privacy a laborious task for the users. On the other hand, supposedly trusted third parties that access personal data have been recently reported to invade user privacy. Thus, this thesis proposes a privacy framework that computes the ris
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Pukawan, Kriangsak. "The Attitudes and Preferences of Internet Users in Thailand Toward Online Privacy Rights." NSUWorks, 2006. http://nsuworks.nova.edu/gscis_etd/781.

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This study strives to solicit and assimilate the attitudes and preferences of online users in Thailand concerning their privacy rights. It is designed to resolve this noticeable void in Thai information technology policy. Three sub problems are separately investigated by use of a questionnaire used to discern Thai uneasiness about (1) the clandestine commercial collection and dissemination of personal online data profiles, (2) a wide variety of online criminal activities that should merit government regulation and intervention, and (3) Internet users' trust in their government to curtail onlin
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Kolivodiakos, Paraskevas. "Evaluating End Users’ Online Privacy Preferences and Identifying PET Design Requirements: A Literature Review." Thesis, Luleå tekniska universitet, Datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-67720.

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In this research end user privacy preferences regarding online resources web and mobile applications and websites are investigated and design requirements needed for the development of a privacy focused, privacy enhancing technology tool are identified, as derived from the literature, the crowd source based solution is the most appealing solution so it is fully analyzed according to our research main focus.
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Schaap, Robbert-Jan [Verfasser], and Florian [Akademischer Betreuer] Diekert. "The Dynamic Preferences and Incentives of Natural Resource Users / Robbert-Jan Schaap ; Betreuer: Florian Diekert." Heidelberg : Universitätsbibliothek Heidelberg, 2021. http://d-nb.info/1234460602/34.

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Books on the topic "Users’ preferences"

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E, Watson Alan, and Intermountain Research Station (Ogden, Utah), eds. Visitor characteristics and preferences for three national forest wildernesses in the south. U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1992.

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E, Watson Alan, and Intermountain Research Station (Ogden, Utah), eds. Visitor characteristics and preferences for three national forest wildernesses in the South. U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1992.

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Bowker, James M. Mountain biking at Tsali: An assessment of users, preferences, conflicts, and management alternatives. USDA Forest Service, Southern Research Station, 2002.

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N, Cole David. Wilderness visitors, experiences, and management preferences: How they vary with use level and length of stay. United States Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2008.

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W, Howe Charles, ed. Urban water supply reliability: Preferences of managers, elected officials, and water users in Boulder, Colorado. Colorado Water Resources Research Institute, Colorado State University, 1990.

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Najjar, Yaser M. Recreational preferences among State Park users in New England: A case study of the Massachusetts State Park system. Keene State College, 1992.

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Mortensen, Dennis R. Yahoo! Web Analytics. John Wiley & Sons, Ltd., 2009.

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Kamwana, Laston L. M. Results of a tree seed user preference survey. Forestry Research Institute of Malawi, 1997.

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M, Wakumelo-Nkolola Mildred, Zambia. Central Board of Health., Zambia Integrated Health Programme, and Boston University. Center for International Health., eds. Language preferences and uses in five selected districts in Zambia. [s.n., 2002.

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Bussey, Shelagh Christine. Public uses, preferences and perceptions of urban woodlands in Redditch. University of Central England in Birmingham, 1996.

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Book chapters on the topic "Users’ preferences"

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Mahrt, Merja. "Values and Genre Preferences." In Values of German Media Users. VS Verlag für Sozialwissenschaften, 2010. http://dx.doi.org/10.1007/978-3-531-92256-0_6.

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Knijnenburg, Bart P., Reza Ghaiumy Anaraky, Daricia Wilkinson, et al. "User-Tailored Privacy." In Modern Socio-Technical Perspectives on Privacy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82786-1_16.

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AbstractModern information systems require their users to make a myriad of privacy decisions, but users are often neither motivated nor capable of managing this deluge of decisions. This chapter covers the concept of tailoring the privacy of an information system to each individual user. It discusses practical problems that may arise when collecting data to determine a user’s privacy preferences, techniques to model these preferences, and a number of adaptation strategies that can be used to tailor the system’s privacy practices, settings, or interfaces to the user’s modeled preferences. Throu
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Mahrt, Merja. "Channel Loyalty and Genre Preferences." In Values of German Media Users. VS Verlag für Sozialwissenschaften, 2010. http://dx.doi.org/10.1007/978-3-531-92256-0_7.

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Kendall, Stephen H., and John R. Dale. "An efficient response to users' preferences." In The Short Works of John Habraken. Routledge, 2023. http://dx.doi.org/10.4324/9781003011385-44.

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Dietz, Linus W., Sameera Thimbiri Palage, and Wolfgang Wörndl. "Navigation by Revealing Trade-offs for Content-Based Recommendations." In Information and Communication Technologies in Tourism 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94751-4_14.

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AbstractConversational recommender systems have been introduced to provide users the opportunity to give feedback on items in a turn-based dialog until a final recommendation is accepted. Tourism is a complex domain for recommender systems because of high cost of recommending a wrong item and often relatively few ratings to learn user preferences. In a scenario such as recommending a city to visit, conversational content-based recommendation may be advantageous, since users often struggle to specify their preferences without concrete examples. However, critiquing item features comes with chall
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Oku, Kenta, Ta Son Tung, and Fumio Hattori. "Collaborative Filtering for Predicting Users’ Potential Preferences." In Knowledge-Based and Intelligent Information and Engineering Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23866-6_5.

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Gupta, Saurabh, and Sutanu Chakraborti. "UtilSim: Iteratively Helping Users Discover Their Preferences." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39878-0_11.

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Kumamoto, Tadahiko, Tomoya Suzuki, and Hitomi Wada. "Visualizing Impression-Based Preferences of Twitter Users." In Social Computing and Social Media. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07632-4_20.

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Yi, Kun, Takeyuki Maekawa, Yuntao Kong, Zhengyang Bai, Xisha Jin, and Qiang Ma. "U-KyotoTrip: A Travel Planning System for User Experience Oriented Trips." In Information and Communication Technologies in Tourism 2024. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-58839-6_36.

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AbstractWe propose U-KyotoTrip, a travel planning system designed for user-experience-oriented trips in Kyoto, Japan. U-KyotoTrip integrates extensive content analysis of user-generated content, Point-Of-Interest (POI) recommendations, and route recommendations, with the aim of assisting users in acquiring information and travel planning. To capture new users’ preferences, we propose user-friendly ask-to-rate methods to handle cold-start user scenarios. Furthermore, we employ five route recommendation methods that vary in their consideration for congestion and tourism diversification to addres
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Zymla, Mark-Matthias, Raphael Buchmüller, Miriam Butt, and Daniel Keim. "Deciphering Personal Argument Styles – A Comprehensive Approach to Analyzing Linguistic Properties of Argument Preferences." In Robust Argumentation Machines. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63536-6_18.

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AbstractIn this paper, we introduce an application for exploring the effect of linguistic features on personalized argument preferences. These individual preferences are derived by measuring the impact of linguistic features on pairwise comparisons between arguments. The insights derived from this are, in turn, useful for studies of argument quality. To conduct this research, we have developed a new pipeline that covers three major components: data collection, argument comparison labeling, and data exploration, incorporating linguistic annotations of arguments and preference data. The first co
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Conference papers on the topic "Users’ preferences"

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Gould, Adam, Guilherme Paulino-Passos, Seema Dadhania, Matthew Williams, and Francesca Toni. "Preference-Based Abstract Argumentation for Case-Based Reasoning." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/37.

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In the pursuit of enhancing the efficacy and flexibility of interpretable, data-driven classification models, this work introduces a novel incorporation of user-defined preferences with Abstract Argumentation and Case-Based Reasoning (CBR). Specifically, we introduce Preference-Based Abstract Argumentation for Case-Based Reasoning (which we call AA-CBR-P), allowing users to define multiple approaches to compare cases with an ordering that specifies their preference over these comparison approaches. We prove that the model inherently follows these preferences when making predictions and show th
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Zhang, Lu, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, and Xinghua Qu. "Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/521.

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Existing studies on next point-of-interest (POI) recommendation mainly attempt to learn user preference from the past and current sequential behaviors. They, however, completely ignore the impact of future behaviors on the decision-making, thus hindering the quality of user preference learning. Intuitively, users' next POI visits may also be affected by their multi-step future behaviors, as users may often have activity planning in mind. To fill this gap, we propose a novel Context-aware Future Preference inference Recommender (CFPRec) to help infer user future preference in a self-ensembling
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Jameson, Anthony, Silvia Gabrielli, and Antti Oulasvirta. "Users' preferences regarding intelligent user interfaces." In Proceedingsc of the 13th international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1502650.1502734.

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Du, Pengyu, Kin Wai Michael Siu, and Yi-Teng Shih. "Product Style Preferences: An Image-based User Study Software Concept." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001715.

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In the market, once producers of a particular product category become mature in their production technology, their products will have few functional differences. Thus, the greatest challenge for designers today lies in developing an appropriate design language that fits the tastes of target users. Designers use many user-study methods (interviews, questionnaires, focus groups) to understand their target users’ tastes. However, these methods mainly rely on language as the core medium of interaction. Because language can be subjective and one-sided, it is difficult to describe abstract concepts
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MacDonald, Erin, Richard Gonzalez, and Panos Papalambros. "Preference Inconsistency in Multidisciplinary Design Decision Making." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35580.

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Research from behavioral psychology and experimental economics asserts that individuals construct preferences on a case-by-case basis when called to make a decision. A common, implicit assumption in engineering design is that user preferences exist a priori. Thus, preference elicitation methods used in design decision making can lead to preference inconsistencies across elicitation scenarios. This paper offers a framework for understanding preference inconsistencies, within and across individual users. We give examples of three components of this new framework: comparative, internal, and exter
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Seimetz, Valentin, Rebecca Eifler, and Jörg Hoffmann. "Learning Temporal Plan Preferences from Examples: An Empirical Study." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/572.

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Temporal plan preferences are natural and important in a variety of applications. Yet users often find it difficult to formalize their preferences. Here we explore the possibility to learn preferences from example plans. Focusing on one preference at a time, the user is asked to annotate examples as good/bad. We leverage prior work on LTL formula learning to extract a preference from these examples. We conduct an empirical study of this approach in an oversubscription planning context, using hidden target formulas to emulate the user preferences. We explore four different methods for generatin
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Reinecke, Katharina, and Abraham Bernstein. "Predicting user interface preferences of culturally ambiguous users." In Proceeding of the twenty-sixth annual CHI conference extended abstracts. ACM Press, 2008. http://dx.doi.org/10.1145/1358628.1358841.

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Neidhardt, Julia, Rainer Schuster, Leonhard Seyfang, and Hannes Werthner. "Eliciting the users' unknown preferences." In the 8th ACM Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2645710.2645767.

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DOBBINS, PF. "USERS' PREFERENCES FOR PAM SYSTEMS." In BIOACOUSTICS 2009. Institute of Acoustics, 2023. http://dx.doi.org/10.25144/17440.

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Qi, Lianyong, Yuwen Liu, Weiming Liu, et al. "Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/255.

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With the proliferation of Location-based Social Networks (LBSNs), user check-in data at Points-of-Interest (POIs) has surged, offering rich insights into user preferences. However, sequential POI recommendation systems always face two pivotal challenges. A challenge lies in the difficulty of modeling time in a discrete space, which fails to accurately capture the dynamic nature of user preferences. Another challenge is the inherent sparsity and noise in continuous POI recommendation, which hinder the recommendation process. To address these challenges, we propose counterfactual user sequence s
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Reports on the topic "Users’ preferences"

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Bansal, Prateek, Akanksha Sinha, Rubal Dua, and Ricardo Daziano. Eliciting Preferences of Ride-Hailing Users and Drivers. King Abdullah Petroleum Studies and Research Center, 2020. http://dx.doi.org/10.30573/ks--2020-dp03.

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Oviedo, Daniel, Yisseth Scorcia, and Lynn Scholl. Ride-hailing and (dis)Advantage: Perspectives from Users and Non-users. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003656.

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The introduction of ride-hailing in cities of Latin America and the Caribbean (LAC) remains a relatively new topic in regional research and a contentious issue in local policy and practice. Evidence regarding users and how do they differ from non-users is scarce, and there is little documented evidence about how user preferences and perceptions may influence the uptake of ride-hailing. This paper uses primary data from a survey collected from users and non-users of ride-hailing in Bogotá during 2019 to develop a Latent Class Analysis Model (LCA) to identify clusters of users and non-users of r
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Bowker, J. Michael, and Donald B. K. English. Mountain Biking at Tsali: An Assessment of Users, Preferences, Conflicts, and Management Alternatives. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2002. http://dx.doi.org/10.2737/srs-gtr-59.

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Bowker, J. Michael, and Donald B. K. English. Mountain Biking at Tsali: An Assessment of Users, Preferences, Conflicts, and Management Alternatives. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2002. http://dx.doi.org/10.2737/srs-gtr-59.

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Jimenez Mori, Raul Alberto. Are Blackout Days Free of Charge?: Valuation of Individual Preferences for Improved Electricity Services. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0011804.

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Low-quality infrastructure services are persistent in developing countries, a situation mainly affecting the poorest households in contexts of high rates of informal access and heavily subsidized services. This paper exploits choice experiments, specifically designed for formal and informal users, to examine whether households in this situation are willing to pay for electricity service improvements. The analysis takes place in urban Dominican Republic, a country with one of the highest rates of electricity theft and lowest quality of services. The results strongly indicate that households val
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Lazo, Jeffrey. Communicating Forecast Uncertainty (CoFU) 2: Replication and Extension of a Survey of the US Public's Sources, Perceptions, Uses, and Values for Weather Information. American Meteorological Society, 2024. http://dx.doi.org/10.1175/cofu2-2024.

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Understanding end-users’ sources, perceptions, uses, and values of weather information is critical to the Weather Enterprise’s efforts to deliver the most accurate, most timely, and most relevant weather information to all 330 Million Americans. In 2006, a survey of the general public of the United States explored a range of issues related to the communication, use, understanding, and value of weather forecasts. In 2022, this survey was reimplemented, revisting questions related to the sources, perceptions, uses, and value of weather information. To the maximum extent possible the exact same s
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Morrison, Laura, Anushah Hossain, Myles Elledge, Brian Stoner, and Jeffrey Piascik. User-Centered Guidance for Engineering and Design of Decentralized Sanitation Technologies. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.rb.0017.1806.

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Technological innovations in sanitation are poised to address the great need for sanitation improvements in low-income countries. Worldwide, more than 2.4 billion people lack access to improved sanitation facilities. Innovative waste treatment and sanitation technologies aim to incorporate user-centered findings into technology engineering and design. Without a focus on users, even the most innovative technology solutions can encounter significant barriers to adoption. Drawing on a household survey conducted in urban slum communities of Ahmedabad, India, this research brief identifies toilet a
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Moras, Bruno Cesar Krause, Xiaowei Chen, Kenny Chandra Wijaya, Satish Ukkusuri, Samuel Labi, and Konstantina Gkritza. Electric Vehicles: Public Perceptions, Expectations, and Willingness-to-Pay. Purdue University, 2025. https://doi.org/10.5703/1288284317766.

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The primary objective of this project was to understand Indiana resident’s perspectives on electric vehicles (EVs), including adoption incentives and barriers, awareness of adoption incentives, charging preferences, and general travel patterns. A secondary objective was to establish a framework for identifying EV users, detailing their trips, and generating predictions for EV adoption and usage. To achieve these objectives, a stated preference survey was conducted with 1,217 Indiana residents. Two datasets containing travel behavior data were incorporated to generate synthetic data. The survey
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Trifon, Maria, Alin Savu, Bogdan Pălici, Cristian Georgescu, and Dinu Ion. Music streaming practices. Spotify usage in Romania. National Institute for Cultural Research and Training, 2025. https://doi.org/10.61789/pub.cdi.psm.en25.

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This publication provides an overview of music streaming practices, taking the use of the Spotify platform in Romania as a case study. Given that streaming has become the dominant form of cultural consumption nowadays (Arditi, 2021), analyzing the consumption trends and preferences recorded in Spotify charts in Romania becomes relevant. Spotify is a popular digital music streaming service that provides users with access to a vast library of songs, podcasts and other audio content from various artists and creators around the world.
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Odobetska, Iryna. ADAPTING REGIONAL TELEVISION CONTENT TO THE FORMAT OF SOCIAL NETWORKS (ON THE EXAMPLE OF THE VITA TV CHANNEL). Ivan Franko National University of Lviv, 2024. http://dx.doi.org/10.30970/vjo.2024.54-55.12163.

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The article examines the peculiarities of the regional media and the specifics of creating the content of the TV channel’s social networks. The prerequisites for the need to distribute TV content in modern forms of the virtual environment are provided. Ukraine is actively implementing digital technologies in television, which leads to the improvement of the quality and diversity of local media, as a result of which regional television becomes more flexible, interactive and adaptive to changes in consumer preferences and technological capabilities. The growing popularity of social media is bein
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