Collaborative Filtering for Implicit Feedback Datasets
Explore this paper's citation graph
- Type
- article
- Published
- 2008-12-15
- Cited by
- 3,587
- References
- 22
- Access
- Open access
- OpenAlex
- https://openalex.org/W2101409192
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10537313
Keywords
Computer science, Recommender system, Collaborative filtering, Scalability, Preference
References
- Implicit Feedback for Recommender Systems
- Application of Dimensionality Reduction in Recommender System - A Case Study
- Using collaborative filtering to weave an information tapestry
- Modeling relationships at multiple scales to improve accuracy of large recommender systems
- KDD Cup and workshop 2007
- Item-based collaborative filtering recommendation algorithms
- A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce
- Latent semantic models for collaborative filtering
- Major components of the gravity recommendation system
- Restricted Boltzmann machines for collaborative filtering
- Explaining collaborative filtering recommendations
- Probabilistic Matrix Factorization
- Item-based top-N recommendation algorithms
- Amazon.com Recommendations: Item-to-Item Collaborative Filtering
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
- Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
- The Netflix Prize
- An algorithmic framework for performing collaborative filtering
- Probabilistic Matrix Factorization
- 10.1162/jmlr.2003.3.4-5.993
Cited by
- Goal-driven collaborative filtering
- Regularization methods for prediction in dynamic graphs and e-marketing applications
- Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks
- Knowledge Extraction in Video Through the Interaction Analysis of Activities Knowledge Extraction in Video Through the Interaction Analysis of Activities
- Seeking Variety: A Dynamic Model of Employee Blog Reading Behavior
- Universal Schema for Knowledge Representation from Text and Structured Data
- TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
- Deep Modeling of Group Preferences for Group-Based Recommendation
- Collaborative Filtering on a Budget
- A Hidden Markov Model for Collaborative Filtering
- Bayesian Nonparametric Poisson Factorization for Recommendation Systems
- Implementing a Scalable Music Recommender System
- Scalable Bayesian Modelling of Paired Symbols
- Offline Shop Recommendation based On Online Shopping History
- From nature to nurture: isolation, physiology and preservation of methane-oxidizing bacteria
- Supervised Topic Model with Consideration of User and Item
- Collaborative Filtering in the News Domain with Explicit and Implicit Feedback
- Machine learning methods for recommender systems
- Changing a user’s search experience byincorporating preferences of metadata
- How To Color A Map
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