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Proceedings of the 2007 ACM conference on Recommender systems
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Towards Context-aware Social Recommendation via Individual Trust
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A scalable and robust trust-based nonnegative matrix factorization recommender using the alternating direction method
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Identifying top persuaders in mixed trust networks for electronic marketing based on word-of-mouth
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Temporal context-aware task recommendation in crowdsourcing systems
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CARs-Lands: An associative classifier for large-scale datasets
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Cross-modal context-gated convolution for multi-modal sentiment analysis
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Whether information network supplements friendship network
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Information filtering via balanced diffusion on bipartite networks
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SoRS: Social recommendation using global rating reputation and local rating similarity
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Diffusion-like recommendation with enhanced similarity of objects
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A vertex similarity index for better personalized recommendation
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Hybrid attacks on model-based social recommender systems
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A trust-based recommendation method using network diffusion processes
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How to predict recommendation lists that users do not like
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A personalized recommender system for pervasive social networks
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Collaborative Filtering with Temporal Features for Movie Recommendation System
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AI4HR Recruiter: a job recommender system for internal recruitment in consulting companies
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Loyalty of young female Arabic customers towards recommendation agents: A new model for B2C E-commerce
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In search of patterns among travellers' hotel ratings in TripAdvisor
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Understanding why users tag: A survey of tagging motivation literature and results from an empirical study
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SongRecommend: From summarization to recommendation
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SOM-based recommendations with privacy on multi-party vertically distributed data
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Introducing a Model of Automated Brand-Generated Content in an Era of Computational Advertising
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A Location Recommender Based on a Hidden Markov Model: Mobile Social Networks
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Mining on Big Data Using Hadoop MapReduce Model
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ResumAI: Revolutionizing Automated Resume Analysis and Recommendation with Multi-Model Intelligence
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Recommendation Systems for Software Engineering
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Dual granularity multi-layer attention networks for group event recommendation
inferred← citeshttps://doi.org/10.1145/3358695.3361747openalex-snapshot
Learning and Predicting User Pairwise Preferences from Emotions and Gaze Behavior
inferred← citeshttps://doi.org/10.1145/3360488openalex-snapshot
Adaptive Local Low-rank Matrix Approximation for Recommendation
inferred← citeshttps://doi.org/10.1145/3406522.3446013openalex-snapshot
Exploring Gaze-Based Prediction Strategies for Preference Detection in Dynamic Interface Elements
inferred← citeshttps://doi.org/10.1145/3409334.3452041openalex-snapshot
Item based recommendation using matrix-factorization-like embeddings from deep networks
inferred← citeshttps://doi.org/10.1145/3460231.3478859openalex-snapshot
Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain
inferred← citeshttps://doi.org/10.1145/3479583openalex-snapshot
Bringing Friends into the Loop of Recommender Systems: An Exploratory Study
inferred← citeshttps://doi.org/10.1145/3527449openalex-snapshot
Survey on the Objectives of Recommender Systems: Measures, Solutions, Evaluation Methodology, and New Perspectives
inferred← citeshttps://doi.org/10.1145/3554819openalex-snapshot
User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User’s Experience
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