Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback
Abstract
References
Index Terms
- Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback
Recommendations
Multiple Pairwise Ranking with Implicit Feedback
CIKM '18: Proceedings of the 27th ACM International Conference on Information and Knowledge ManagementAs users implicitly express their preferences to items on many real-world applications, the implicit feedback based collaborative filtering has attracted much attention in recent years. Pairwise methods have shown state-of-the-art solutions for dealing ...
Using Implicit Feedback for Neighbors Selection: Alleviating the Sparsity Problem in Collaborative Recommendation Systems
WebMedia '17: Proceedings of the 23rd Brazillian Symposium on Multimedia and the WebThe most popular Recommender systems (RSs) employ Collaborative Filtering (CF) algorithms where users explicitly rate items. Based on these ratings, a user-item rating matrix is generated and used to select the items to be recommended for a target user. ...
A Similarity Measure for Collaborative Filtering with Implicit Feedback
ICIC '07: Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial IntelligenceCollaborative Filtering(CF) is a widely accepted method of creating recommender systems. CF is based on the similarities among users or items. Measures of similarity including the Pearson Correlation Coefficient and the Cosine Similarity work quite well ...
Comments
Information & Contributors
Information
Published In
- General Chairs:
- Hsin-Hsi Chen,
- Wei-Jou (Edward) Duh,
- Hen-Hsen Huang,
- Program Chairs:
- Makoto P. Kato,
- Josiane Mothe,
- Barbara Poblete
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Short-paper
Funding Sources
- National Natural Science Foundation of China
- University Synergy Innovation Program of Anhui Province
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 110Total Downloads
- Downloads (Last 12 months)35
- Downloads (Last 6 weeks)1
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in