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Keyword

user preference modeling

Description: A computational method for representing and predicting users’ interests to support personalized services such as recommendation and resource management.
OpenAlex ID: keywords/user-preference-modeling
Document Language Models, Query Models, and Risk Minimization for Information Retrieval
2017 · John Lafferty, Chengxiang Zhai · ACM SIGIR Forum · 754
Learning photographic global tonal adjustment with a database of input/output image pairs
2011 · Vladimir Bychkovsky, Sylvain Paris, et al. · 664
Adaptive web search based on user profile constructed without any effort from users
2004 · Kazunari Sugiyama, Kenji Hatano, et al. · International World Wide Web Conference (WWW) · 647
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
2020 · Ziyang Wang, Wei Wei, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 639
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Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
2022 · Zihan Lin, Changxin Tian, et al. · ACM Web Conference (WWW) · 624
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Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios
2020 · Zhihua Cui, Xianghua Xu, et al. · IEEE Transactions on Services Computing · 543
Learning photographic global tonal adjustment with a database of input / output image pairs
2011 · Vladimir Bychkovsky, Sylvain Paris, et al. · 530
Knowledge Graph Contrastive Learning for Recommendation
2022 · Yuhao Yang, Chao Huang, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 520
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Embedding-based News Recommendation for Millions of Users
2017 · Shumpei Okura, Yukihiro Tagami, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 512
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
2018 · Jin Huang, Wayne Xin Zhao, et al. · 486
A Distributed Demand Response Algorithm and Its Application to PHEV Charging in Smart Grids
2012 · Zhong Fan · IEEE Transactions on Smart Grid · 396
Recurrent knowledge graph embedding for effective recommendation
2018 · Zhu Sun, Jie Yang, et al. · ACM Conference on Recommender Systems (RecSys) · 383
Location-Based Recommendation System Using Bayesian User’s Preference Model in Mobile Devices
2007 · Moon-Hee Park, Jin-Hyuk Hong, et al. · Lecture notes in computer science · 383
Temporal recommendation on graphs via long- and short-term preference fusion
2010 · Liang Xiang, Quan Yuan, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 376
Exploiting Geographical Neighborhood Characteristics for Location Recommendation
2014 · Yong Liu, Wei Wei, et al. · 350
Learning a Neural Semantic Parser from User Feedback
2017 · Srinivasan Iyer, Ioannis Konstas, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 343
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LCARS
2013 · Hongzhi Yin, Yizhou Sun, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 331
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
2020 · Kun Zhou, Wayne Xin Zhao, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 330
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Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources
2017 · Yongfeng Zhang, Qingyao Ai, et al. · 302
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
2014 · Yang Bao, Hui Fang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 302
GETNext
2022 · Song Yang, Jiamou Liu, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 281
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MGAT: Multimodal Graph Attention Network for Recommendation
2020 · Zhulin Tao, Yinwei Wei, et al. · Information Processing & Management · 277
DDTCDR
2020 · Pan Li, Alexander Tuzhilin · 272
A Joint Multi-Criteria Utility-Based Network Selection Approach for Vehicle-to-Infrastructure Networking
2018 · Dingde Jiang, Liuwei Huo, et al. · IEEE Transactions on Intelligent Transportation Systems · 269
Context relevance assessment and exploitation in mobile recommender systems
2011 · Linas Baltrunas, Bernd Ludwig, et al. · Personal and Ubiquitous Computing · 261
Works count: 4,975
Citation count: 57,260
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