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Journal articles on the topic 'User's attention'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Zhu, Qiannan, Xiaofei Zhou, Jia Wu, Jianlong Tan, and Li Guo. "A Knowledge-Aware Attentional Reasoning Network for Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 6999–7006. http://dx.doi.org/10.1609/aaai.v34i04.6184.

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Knowledge-graph-aware recommendation systems have increasingly attracted attention in both industry and academic recently. Many existing knowledge-aware recommendation methods have achieved better performance, which usually perform recommendation by reasoning on the paths between users and items in knowledge graphs. However, they ignore the users' personal clicked history sequences that can better reflect users' preferences within a period of time for recommendation. In this paper, we propose a knowledge-aware attentional reasoning network KARN that incorporates the users' clicked history sequ

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Tan, Qiaoyu, Jianwei Zhang, Ninghao Liu, et al. "Dynamic Memory based Attention Network for Sequential Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (2021): 4384–92. http://dx.doi.org/10.1609/aaai.v35i5.16564.

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Sequential recommendation has become increasingly essential in various online services. It aims to model the dynamic preferences of users from their historical interactions and predict their next items. The accumulated user behavior records on real systems could be very long. This rich data brings opportunities to track actual interests of users. Prior efforts mainly focus on making recommendations based on relatively recent behaviors. However, the overall sequential data may not be effectively utilized, as early interactions might affect users' current choices. Also, it has become intolerable

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Wang, Hui, Jing Sheng, Guosheng Chen, Xuelei Liu, and Gending Jiang. "Research On Influencing Factors of Wechat Public Account Users' Attention Intention." Journal of Education, Humanities and Social Sciences 9 (March 27, 2023): 15–20. http://dx.doi.org/10.54097/ehss.v9i.6406.

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In the context of the rapid development of new media, wechat public accounts are gradually welcomed by government agencies, social organizations and individuals with the advantages of simple operation and low cost. At the same time, how to let users pay attention to the wechat public number has become the biggest problem facing individual operators. In this paper, the wechat official account of Gending Theory is taken as the research object, and the user's attention intention is taken as the research direction. Based on the success of Information System (D&M) model, the new variables of kn

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Vertegaal, Roel, and Jeffrey S. Shell. "Attentive user interfaces: the surveillance and sousveillance of gaze-aware objects." Social Science Information 47, no. 3 (2008): 275–98. http://dx.doi.org/10.1177/0539018408092574.

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Attentive user interfaces are user interfaces that aim to support users' attentional capacities. By sensing users' attention for objects and people in their everyday environment and by treating user attention as a limited resource, these interfaces avoid today's ubiquitous patterns of interruption. Focusing upon attention as a central interaction channel allows development of more sociable methods of communication and repair with ubiquitous devices. Our methods are analogous to human turn-taking in group communication. Turn-taking improves the user's ability to conduct foreground processing of

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Yu, Cong, Li Xin Li, Kui Wang, and Wen Tao Yu. "Protecting the Security and Privacy of the Virtual Machine through Privilege Separation." Applied Mechanics and Materials 347-350 (August 2013): 2488–94. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2488.

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Virtual machine security issues have been the focus of attention. The permissions of traditional administrative domain Dom0 are too large, so that the user's privacy is threatened. Once the attacker compromises Dom0, it can threaten the entire virtualization platform. This paper introduces a privilege separation virtual machine security model (PSVM). Dom0s privileges are split into two parts: the operations about the user's privacy form a DomU management domain, responsible for managing the user's privacy; remaining forms Thin Dom0. Users and virtualization platform for server-side need mutual

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Pawar, Kusumlata. "Alertness Assured: Sleep Detection and Video Control Technology." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 4742–51. http://dx.doi.org/10.22214/ijraset.2024.62663.

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Abstract: The system utilizes advanced computer vision algorithms to analyze real-time video streams, employing techniques such as facial landmark detection and eye movement tracking. By continuously monitoring these visual cues, the system can accurately detect signs of drowsiness, such as drooping eyelids or prolonged eye closures, prompting timely interventions to prevent accidents or errors caused by fatigue. In addition to detecting drowsiness, the system also evaluates the user's attention levels by analysing head orientation and facial expressions. By tracking head movements and assessi

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Coury, Bruce G., and Ralph D. Semmel. "A New Mechanism for Attention Direction in Information Management." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 6 (1996): 333–37. http://dx.doi.org/10.1177/154193129604000603.

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Information systems can present an enormous amount of information to a user. One of the important issues in the design of the user interface is directing the user's attention to the critical information in a situation, especially when a user's request for information produces an uncertain result. The purpose of this paper is to describe how a unique approach provides a solution to the problem of attention direction while simultaneously representing the database designer's intent to the user to facilitate user/system communication.

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Schaffner, Brennan, Antonia Stefanescu, Olivia Campili, and Marshini Chetty. "Don't Let Netflix Drive the Bus: User's Sense of Agency Over Time and Content Choice on Netflix." Proceedings of the ACM on Human-Computer Interaction 7, CSCW1 (2023): 1–32. http://dx.doi.org/10.1145/3579604.

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Users often turn to subscription video on demand (SVOD) platforms for entertainment. However, these platforms sometimes employ manipulative tactics that undermine a user's sense of agency over time and content choice to increase their share of a user's attention. Prior research has investigated how interface designs affect a user's sense of agency on social media and YouTube. For example, YouTube's autoplay left users feeling like they had less control over their time. We extend this work by investigating the design elements of Netflix, the most used SVOD, for the impact they have on users' se

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Morrison-Smith, Sarah, Lydia B. Chilton, and Jaime Ruiz. "AmbiTeam." XRDS: Crossroads, The ACM Magazine for Students 28, no. 2 (2021): 60–65. http://dx.doi.org/10.1145/3495265.

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AmbiTeam is an ambient display designed to communicate contextual or background information in the periphery of the user's awareness and only requires the user's attention when it is appropriate or desired.

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Ren, Yaru, and Linji Li. "Effects of users’province disclosure in social platforms on their behavior: take Weibo as an example." Advances in Economics and Management Research 5, no. 1 (2023): 47. http://dx.doi.org/10.56028/aemr.5.1.47.2023.

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On April 28, the information of the user's province is publicly displayed in Weibo, but whether this move can effectively improve the network environment has not been verified. Through a questionnaire survey, we studies the changes of users' verbal aggression and willingness to express under three Weibo states: not displaying users’ information, displaying users’ province and displaying users’ province and age simultaneously. We find that the measure to show users' provinces is conducive to reducing the aggressiveness of comments and improving the network environment, but it leads to a signifi

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Xiao, Shuwen, Zhou Zhao, Zijian Zhang, Xiaohui Yan, and Min Yang. "Convolutional Hierarchical Attention Network for Query-Focused Video Summarization." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12426–33. http://dx.doi.org/10.1609/aaai.v34i07.6929.

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Previous approaches for video summarization mainly concentrate on finding the most diverse and representative visual contents as video summary without considering the user's preference. This paper addresses the task of query-focused video summarization, which takes user's query and a long video as inputs and aims to generate a query-focused video summary. In this paper, we consider the task as a problem of computing similarity between video shots and query. To this end, we propose a method, named Convolutional Hierarchical Attention Network (CHAN), which consists of two parts: feature encoding

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Choi, Ha-ram, Dong-hyun Kang, and Sang-hun Nam. "A study on factors that induce user's attention in 360 VR video." Journal of Digital Art Engineering and Multimedia 7, no. 4 (2020): 351–58. http://dx.doi.org/10.29056/jdaem.2020.12.05.

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CHRISTIAN, DANIEL, and YOHANES BUDIARTO. "HUBUNGAN DURASI TIKTOK DAN RENTANG PERHATIAN PADA PENGGUNA AKTIF DI USIA DEWASA MUDA." PAEDAGOGY : Jurnal Ilmu Pendidikan dan Psikologi 4, no. 4 (2024): 311–18. https://doi.org/10.51878/paedagogy.v4i4.3804.

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This study aims to analyze the relationship between the duration of TikTok use and attention span in active users in young adults. The rapid development of short video-based social media platforms such as TikTok has raised concerns about its impact on cognitive aspects, especially the ability to maintain attention. This study uses a quantitative approach with a survey technique and involves 155 participants who meet the criteria of 17-25 years of age and are active TikTok users. The instruments used are the Social Media Use Questionnaire (SMUQ) to measure the intensity of social media use and

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Zhao, Yi. "Based on the User's Network Management Software Research." Applied Mechanics and Materials 496-500 (January 2014): 2127–29. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2127.

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This paper focuses on network management software on the computer a number of issues including the commonly used network management software, network management software applications, user-based network management software, network management software of different characteristics of specific network management software attention to such matters, as well as the development trend.

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Ljubojević, Miloš, Vojkan Vasković, and Dušan Starčević. "The Analysis of the Users' Response to the Linear Internet Video Advertising by Using QoE Methods." JUCS - Journal of Universal Computer Science 19, no. (12) (2013): 1736–60. https://doi.org/10.3217/jucs-019-12-1736.

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Internet video advertising is a sensitive application regarding the quality of the multimedia content, efficiency of displayed advertisement and user's attention. Therefore, video advertising have to be described with respect to Quality of Experience (QoE). Important issue represents trade-off between the Quality of Experience and ad efficiency. The analysis of payment which takes into account the duration of video ad is one of the aspects in this research. This paper analyzes influences of the format of the video ad to user's attention in order to achieve optimum ratio between the efficiency

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YANAGISAWA, Hideyoshi, Tamotsu MURAKAMI, and Shuichi FUKUDA. "Shape Generation Based on Personal Points of Attention-Externalization of Latent Kansei by Noting User's Points of Attention." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 18, no. 4 (2006): 534–44. http://dx.doi.org/10.3156/jsoft.18.534.

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Xiong, Wei, Michael Recce, and Brook Wu. "Intent-Based User Segmentation with Query Enhancement." International Journal of Information Retrieval Research 3, no. 4 (2013): 1–17. http://dx.doi.org/10.4018/ijirr.2013100101.

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With the rapid advancement of the internet, accurate prediction of user's online intent underlying their search queries has received increasing attention from online advertising community. This paper aims to address the major challenges with user queries in the context of behavioral targeting advertising by proposing a query enhancement mechanism that augments user's queries by leveraging a user query log. The empirical evaluation demonstrates that the authors' methodology for query enhancement achieves greater improvement than the baseline models in both intent-based user classification and u

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Jia, Yanli. "Attention-Based Time Sequence and Distance Contexts Gated Recurrent Unit for Personalized POI Recommendation." International Journal of Information Technologies and Systems Approach 16, no. 2 (2023): 1–14. http://dx.doi.org/10.4018/ijitsa.325790.

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Aiming at the problems resulting from the fact that the existing point of interest (POI) recommendation methods cannot effectively consider the personalized differences of users' mobile behavior in space and time, the author proposes a personalized POI recommendation method using attention-based time sequence and distance contexts gated recurrent unit (ATSD-GRU). First, the author combined the time sequence and distance context with the GRU to extract useful information from users, effectively alleviating the data sparsity. Second, inspired by the attention mechanism, the author introduced the

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Sandnes, Frode, Yo-Ping Huang, and Yueh-Min Huang. "Near Eyes-Free Chauffeur Computer Interaction with Chording and Visual Text Mnemonics." JUCS - Journal of Universal Computer Science 16, no. (10) (2010): 1311–26. https://doi.org/10.3217/jucs-016-10-1311.

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Modern cars are equipped with advanced technology requiring cognitively complex operation that is reliant on the user's visual attention. It is therefore hazardous for drivers to operate such devices while driving. In this paper a user interface interaction style for in-car user interfaces are proposed. Users interact with the in-car computer using three chording keys and chording pattern sequences are derived based on visual mnemonics. Cases are illustrated for an in-car multimedia system, a mobile phone and a GPS-navigation system. Experimental results demonstrate that the technique is easy

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Ohmura, Ren, and Kodai Yamamoto. "Practical Feedback Method for Mobile CPR Support Systems Considering Noise and User's Attention." Journal of Information Processing 26 (2018): 728–35. http://dx.doi.org/10.2197/ipsjjip.26.728.

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Kinosada, Yasunori. "How Do We Interact with Driver Assistance Technologies?: Road User's Attention and Trust." Journal of the Robotics Society of Japan 38, no. 1 (2020): 28–31. http://dx.doi.org/10.7210/jrsj.38.28.

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Ha, JongSoo, and ChaeHoon Ban. "Analysis of the User's Visual Attention Frequency for UX Design of Online Markets." Journal of the Korea Institute of Information and Communication Engineering 20, no. 11 (2016): 2079–84. http://dx.doi.org/10.6109/jkiice.2016.20.11.2079.

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Kocejko, Tomasz, Kelly Goforth, Khalid Moidu, and Jerzy Wtorek. "Visual Attention Distribution Based Assessment of User's Skill in Electronic Medical Record Navigation." Journal of Medical Imaging and Health Informatics 5, no. 5 (2015): 951–58. http://dx.doi.org/10.1166/jmihi.2015.1473.

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Huang, Jianfeng, Yuefeng Liu, Yue Chen, and Chen Jia. "Context-Aware POI Sequence Recommendation with Attention-Based Neural Network." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-126-2019.

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<p><strong>Abstract.</strong> Location-based social networks (LBSNs) is playing an increasingly important role in our daily life, through which users can share their locations and location-related contents at any time. The Location information implicitly expresses user's behaviour preference. Therefore, LBSNs is being widely explored for Point-of-Interest (POI) recommendation in recent years. Most of existing POI recommenders only recommend a single POI, while sometimes successive POI sequence recommendation is more practical. For example, when we travel to a strange city, wh

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Kumar, Adarsh, Peter Ku, Anuj Goyal, Angeliki Metallinou, and Dilek Hakkani-Tur. "MA-DST: Multi-Attention-Based Scalable Dialog State Tracking." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8107–14. http://dx.doi.org/10.1609/aaai.v34i05.6322.

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Task oriented dialog agents provide a natural language interface for users to complete their goal. Dialog State Tracking (DST), which is often a core component of these systems, tracks the system's understanding of the user's goal throughout the conversation. To enable accurate multi-domain DST, the model needs to encode dependencies between past utterances and slot semantics and understand the dialog context, including long-range cross-domain references. We introduce a novel architecture for this task to encode the conversation history and slot semantics more robustly by using attention mecha

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Wang, Chun Ying, and Jun Zhang. "Key Technology Research Based on the Smart Home BSNs." Advanced Materials Research 981 (July 2014): 542–45. http://dx.doi.org/10.4028/www.scientific.net/amr.981.542.

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In recent years, Mobile computing and intelligent household hot topic, more and more get the attention of people. The current smart home systems for self-help to collect information about the indoor environment, at the same time can also interact with the user, but the system when the user needs to send control commands always spend time learning about the current state of household environment, manual control will become a kind of bondage. So this paper using a user activity recognition system based on smart phone, its main function is based on the current user on sensor information to obtain

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Kong, Junhan, Mingyuan Zhong, James Fogarty, and Jacob O. Wobbrock. "The Ability-Based Design Mobile Toolkit (ABD-MT): Developer Support for Runtime Interface Adaptation Based on Users' Abilities." Proceedings of the ACM on Human-Computer Interaction 8, MHCI (2024): 1–26. http://dx.doi.org/10.1145/3676524.

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Despite significant progress in the capabilities of mobile devices and applications, most apps remain oblivious to their users' abilities. To enable apps to respond to users' situated abilities, we created the Ability-Based Design Mobile Toolkit (ABD-MT). ABD-MT integrates with an app's user input and sensors to observe a user's touches, gestures, physical activities, and attention at runtime, to measure and model these abilities, and to adapt interfaces accordingly. Conceptually, ABD-MT enables developers to engage with a user's "ability profile,'' which is built up over time and inspectable

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Hoppe, Matthias, Daria Oskina, Albrecht Schmidt, and Thomas Kosch. "Odin's Helmet." Proceedings of the ACM on Human-Computer Interaction 5, EICS (2021): 1–15. http://dx.doi.org/10.1145/3461734.

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Virtual Reality (VR) experiences have massively improved in the mediation of feedback. However, the simulation of forces is still limited. This paper presents Odin's Helmet, a head-worn device to simulate g-forces that act on the human head in real-life situations. Odin's Helmet uses four head-mounted propellers as actuators to simulate g-forces through pushing and pulling the user's head while being immersed in VR. Odin's Helmet's goal is to increase presence and manipulate the user's perception of the otolith organ in the vestibular system. The user's perception will be tricked to experience

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Wang, Chen, and Shu Qiao Chen. "Finding Influentials Based on the User's Behavior in Microblogging." Advanced Materials Research 756-759 (September 2013): 3061–64. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3061.

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Microblogging has emerged as a new medium for communication and offers an explicit mechanism of facilitating information diffusion. In this work, we construct two indicators which are activity of users and historical attention. By introducing the factor of the spread ability of the microblogs, we propose a novel user influence ranking algorithm (User Influence Rank). Compared through experiments with traditional algorithm, the proposed algorithm is effective.

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Mueller, Johannes, Shiho Asada, and Ludovica Tomarchio. "Engaging the Crowd." International Journal of E-Planning Research 9, no. 2 (2020): 66–79. http://dx.doi.org/10.4018/ijepr.2020040101.oa.

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In this article, the challenges of realising e-participatory projects in urban planning are described. A participatory case study in Singapore serves as the basis for their presented conclusions. The researchers used a map-based e-participation tool to collect design proposals from participants for the planning site. The user feedback for the tool interface and the study campaign's website together with designer expertise on user interfaces (UI) was incorporated into the redesign of the website and interface of the participatory design tool. From there, some general guidelines for conducting e

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Mori, Taiga, Yuko Hoshino, Mitsuho Yamada, and Eriko Ishii. "Development of a Tourist Information Search Support System that Reflects Interests Based on User's Gaze." International Conference on Tourism Research 15, no. 1 (2022): 562–67. http://dx.doi.org/10.34190/ictr.15.1.152.

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In 2014, Tobii Tech and Eye Tribe released the first inexpensive non-contact eye tracking device, and eye tracking technology has been attracting more and more attention. It has long been said that gaze information can be used to infer a person's interests and attention, and the analysis of gaze position by eye tracking technology is also used for Search Engine Optimization (SEO). In addition, with the spread of information and communication technology, the Internet has become the most used media for "obtaining information on hobbies and entertainment," surpassing books, magazines, and televis

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Tao, Wanjie, Yu Li, Liangyue Li, et al. "SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (2022): 8476–84. http://dx.doi.org/10.1609/aaai.v36i8.20824.

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Online travel platforms (OTPs), e.g., bookings.com and Ctrip.com, deliver travel experiences to online users by providing travel-related products. Although much progress has been made, the state-of-the-arts for cold-start problems are largely sub-optimal for user representation, since they do not take into account the unique characteristics exhibited from user travel behaviors. In this work, we propose a State-aware Multi-aspect Interests representation Network (SMINet) for cold-start users recommendation at OTPs, which consists of a multi-aspect interests extractor, a co-attention layer, and

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Berry, Marsha, Margaret Hamilton, and Dean Keep. "Transmesh: A Locative Media System." Leonardo 44, no. 2 (2011): 162–63. http://dx.doi.org/10.1162/leon_a_00122.

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This research project demonstrates the technosocial possibilities that result from creating localized mediated spaces or ‘meshworks’ using Bluetooth in order to publish independently produced content. Bluetooth technology is a double-edged sword. It is a meshwork for sharing media freely between mobile device users in public places such as shopping centres and private spaces such as the home and the workplace. It presents opportunities for the design of innovative creative projects, however technical issues, user acceptance and competition for the user's attention provide continuing challenges

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Chen, Jinpeng, Yu Liu, and Deyi Li. "Enhancing Recommender Diversity Using Gaussian Cloud Transformation." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 23, no. 04 (2015): 521–44. http://dx.doi.org/10.1142/s0218488515500233.

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The recommender systems community is paying great attention to diversity as key qualities beyond accuracy in real recommendation scenarios. Multifarious diversity-increasing approaches have been developed to enhance recommendation diversity in the related literature while making personalized recommendations to users. In this work, we present Gaussian Cloud Recommendation Algorithm (GCRA), a novel method designed to balance accuracy and diversity personalized top-N recommendation lists in order to capture the user's complete spectrum of tastes. Our proposed algorithm does not require semantic i

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Purski, Michał. "DESIGNING SPACE IN MARTYROLOGY FACILITIES, CEMETERY AND CREMATORY IN EUROPE." Space&FORM 2020, no. 50 (2022): 195–210. http://dx.doi.org/10.21005/pif.2022.50.b-07.

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The article presents research on the conscious shaping of the space of martyrology objects, cemeteries and crematoriums in Europe. In his research, the author focused on the elements of architectural and urban composition, as well as spatial treatments experienced by users on three levels: pre-narrative, proton-narrative and procedural narratives of the unconscious (Dimaggio, Semerari, 2001, 14: 1-23), as based solely on the user's sensual experience. Selected elements influencing the user were divided into three categories: inducing action, focusing attention or inducing a reaction, and build

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Purski, Michał. "DESIGNING SPACE COMPOSITION IN MARTYROLOGY FACILITIES, CREMATORY AND CEMENTERY IN EUROPE." Space&FORM 2022, no. 49 (2022): 95–112. http://dx.doi.org/10.21005/pif.2022.49.c-02.

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The article presents research on the conscious shaping of the space of martyrology objects, cemeteries and crematoriums in Europe. In his research, the author focused on the elements of architectural and urban composition, as well as spatial treatments experienced by users on three levels: pre-narrative, proton-narrative and procedural narratives of the unconscious (Dimaggio, Semerari, 2001, 14: 1-23), as based solely on the user's sensual experience. Selected elements influencing the user were divided into three categories: inducing action, focusing attention or inducing a reaction, and build

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Cao, Qimeng, Qing Yin, Yunya Song, et al. "RTANet: Recommendation Target-Aware Network Embedding." Proceedings of the International AAAI Conference on Web and Social Media 17 (June 2, 2023): 84–94. http://dx.doi.org/10.1609/icwsm.v17i1.22128.

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Network embedding is a process of encoding nodes into latent vectors by preserving network structure and content information. It is used in various applications, especially in recommender systems. In a social network setting, when recommending new friends to a user, the similarity between the user's embedding and the target friend will be examined. Traditional methods generate user node embedding without considering the recommendation target. No matter which target is to be recommended, the same embedding vector is generated for that particular user. This approach has its limitations. For exam

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ZHOU, Liliang, Shili YUAN, Zijian FENG, Guilan DAI, and Guofu ZHOU. "A Lambda Layer-Based Convolutional Sequence Embedding Model for Click-Through Rate Prediction." Wuhan University Journal of Natural Sciences 29, no. 3 (2024): 198–208. http://dx.doi.org/10.1051/wujns/2024293198.

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In the era of intelligent economy, the click-through rate (CTR) prediction system can evaluate massive service information based on user historical information, and screen out the products that are most likely to be favored by users, thus realizing customized push of information and achieve the ultimate goal of improving economic benefits. Sequence modeling is one of the main research directions of CTR prediction models based on deep learning. The user's general interest hidden in the entire click history and the short-term interest hidden in the recent click behaviors have different influence

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Durrett, Richard, and Simon A. Levin. "Stochastic Spatial Models: A User's Guide to Ecological Applications." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 343, no. 1305 (1994): 329–50. http://dx.doi.org/10.1098/rstb.1994.0028.

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Spatial pattern, how it arises and how it is maintained, are central foci for ecological theory. In recent years, some attention has shifted from continuum models to spatially discrete analogues, which allow easy treatment of local stochastic effects and of non-local spatial influences. Many of these fall within the area of mathematics known as `interacting particle systems', which provides a body of results that facilitate the interpretation of the suite of simulation models that have been considered, and point towards future analyses. In this paper we review the basic mathematical literature

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Kar, Pragma, Samiran Chattopadhyay, and Sandip Chakraborty. "Gestatten: Estimation of User's Attention in Mobile MOOCs From Eye Gaze and Gaze Gesture Tracking." Proceedings of the ACM on Human-Computer Interaction 4, EICS (2020): 1–32. http://dx.doi.org/10.1145/3394974.

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Chen, Chen. "Design of Deep Learning Network Model for Personalized Music Emotional Recommendation." Security and Communication Networks 2022 (May 2, 2022): 1–8. http://dx.doi.org/10.1155/2022/4443277.

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Music is a way for people to express their inner thoughts, and it is an art form to express their feelings and send their emotions. In modern society, people tend to listen to music more and more as a way of leisure and entertainment, and different types of music hold different feelings of listeners and trigger different emotional resonances. In this study, we propose an algorithmic model based on the two-layer attention mechanism, which includes the processing of textual convolutional neural network for music name and music label text data and the processing of two-layer attention mechanism,

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ZHANG, DAQING, CHAO CHEN, ZHANGBING ZHOU, and BIN LI. "IDENTIFYING LOGICAL LOCATION VIA GPS-ENABLED MOBILE PHONE AND WEARABLE CAMERA." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 08 (2012): 1260007. http://dx.doi.org/10.1142/s0218001412600075.

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More and more location-based services become relying on the logical notion of a physical location, known as logical location (e.g. Starbucks, KFC). In this paper, we propose a new way to identify logical location using (1) a GPS-enabled mobile phone and (2) a wearable camera embedded in user's glasses. When a user with a wearable camera is detected paying attention to a certain physical location, all the logical locations within the error range of the GPS coordinates are considered as the matched candidates. We select the representative frames in the video stream corresponding to user's intere

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Wen, Jianjun, and Zhao Li. "A Method of Location Privacy Protection in Road Network Environment." MATEC Web of Conferences 173 (2018): 03048. http://dx.doi.org/10.1051/matecconf/201817303048.

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With the widespread application of location-based services, users 'privacy concerns have become the focus of users' attention. Based on the k-anonymity method and the SpaceTwist algorithm, this paper proposes a method of incremental inquiry user privacy protection. The method preliminarily anonymizes the user's location information and points of interest on the client side, On the anonymous server side, combining the road network environment with the latitude and longitude grid generates the minimum anonymous area of random loop, instead of the user initiating incremental inquiry to the locati

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Chandra, Deddy, and Petra Surya Mega Wijaya. "F aktor-Faktor yang Mempengaruhi Perhatian Konsumen terhadap Iklan di Internet." Jurnal Riset Manajemen dan Bisnis 4, no. 2 (2009): 149. http://dx.doi.org/10.21460/jrmb.2009.42.218.

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Facebook is a social networking website that is operated and privately owned by Faceboolc, Inc. The website has cttrrently more than 350 million active users with second position populrity worldwide ofier Google. More than 50?5 of Facebook users access their account daib. The website is free to users andit generates revenuefrom advertising, such as banner adt. Today, Facebook advertisernents become a reasonable optionfor mt ny cottp(mies on a smoll to giant scale as an ffictive media for publishing their promotion campaign. Facebook advertisernents hmte many different variables, ways, audierrc

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Datuamala, Asral B., and Annabelle P. Acedera. "Quality of Public Library Services as Predictors of BARMM Community’s Information Needs Satisfaction." British Journal of Multidisciplinary and Advanced Studies 5, no. 1 (2024): 1–14. http://dx.doi.org/10.37745/bjmas.2022.0393.

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Public libraries have always been a source of essential information resources in the community. This descriptive-correlational research was conducted to examine the quality of library services and its influence on the information needs satisfaction of the BARMM community. Specifically, this research determined the library user's assessment of the quality of BARMM's public libraries in terms of; availability of resources; accessibility of resources; availability of technology; library staff competence and library atmosphere, and the extent of the library user's information needs satisfaction co

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Riou, Matthieu, Bassam Jabaian, Stéphane Huet, and Fabrice Lefèvre. "Reinforcement adaptation of an attention-based neural natural language generator for spoken dialogue systems." Dialogue & Discourse 10, no. 1 (2019): 1–19. http://dx.doi.org/10.5087/dad.2019.101.

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Following some recent propositions to handle natural language generation in spoken dialogue systems with long short-term memory recurrent neural network models~\citep{Wen2016a} we first investigate a variant thereof with the objective of a better integration of the attention subnetwork. Then our next objective is to propose and evaluate a framework to adapt the NLG module online through direct interactions with the users. When doing so the basic way is to ask the user to utter an alternative sentence to express a particular dialogue act. But then the system has to decide between using an autom

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Leclercq, Tony, Ebrahim Khalil Abbasi, Bruno Dumas, Marie-Ange Remiche, and Patrick Heymans. "Essential Expectations of Users of Web Configurators: An Empirical Survey." Proceedings of the ACM on Human-Computer Interaction 6, EICS (2022): 1–26. http://dx.doi.org/10.1145/3534519.

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Web configurators are increasingly used to support mass customisation of all sorts of products and services. As these business-critical applications become more and more widespread, users with different profiles and expectations, as well as increasingly complex products and services, have to be addressed during the configurator's design process. While past research on product configuration has focused on knowledge representation and automated reasoning, researchers have paid less attention to the design and evaluation of user experience. This paper is the first to perform an in-depth study of

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Russo, Paul, and Oded Nov. "Photo Tagging Over Time: A Longitudinal Study of the Role of Attention, Network Density, and Motivations." Proceedings of the International AAAI Conference on Web and Social Media 4, no. 1 (2010): 146–53. http://dx.doi.org/10.1609/icwsm.v4i1.14022.

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Along with the growth in artifact sharing in online communities such as Flickr, YouTube, and Facebook comes the demand for adding descriptive meta-information, or tags. Tags help individuals to organize and communicate the content and context of their work for themselves and for others. This longitudinal study draws on research in social psychology, network theory and online communities to explain tagging over time. Our findings suggest that tagging increases as a contributor receives attention from others in the community. Further, we find that the more a user's network neighbors are connecte

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Saez-Trumper, Diego, David Nettleton, and Ricardo Baeza-Yates. "High Correlation between Incoming and Outgoing Activity: A Distinctive Property of Online Social Networks?" Proceedings of the International AAAI Conference on Web and Social Media 5, no. 1 (2021): 610–13. http://dx.doi.org/10.1609/icwsm.v5i1.14164.

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User influence is an important topic of research for online social networks. Recent work has shown that a user's influence is not directly related with node in-degree. However, the definition of what is an influential or relevant user is still an open subject. In general, we can say that an influential user has the ability to produce incoming activity in an interaction graph. For this reason we have focused our attention on the user's incoming activity and the search for which factors are related with this indicator. We have studied a Facebook dataset and have found that outgoing activity is h

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Ranade, Nupoor, and Jason Swarts. "Infrastructural support of users' mediated potential." Communication Design Quarterly 10, no. 2 (2022): 10–21. http://dx.doi.org/10.1145/3507857.3507859.

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As one kind of designed communication, technical communication is created for readers we assume use the content for some situated purpose. Understanding users and their situations to be varied, communicators rely on simplified models of both to create usable content. In many cases, this approach works, but in some commercial sectors, companies are recognizing a need to engage with users directly and to include them in the production of communication. Including users in the production of communication may ease the burden of communicating in ways that are sufficiently detailed, accurate, inclusi

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