A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit
Abstract
References
Index Terms
- A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit
Recommendations
A Practical Deep Online Ranking System in E-commerce Recommendation
Machine Learning and Knowledge Discovery in DatabasesAbstractUser online shopping experience in modern e-commerce websites critically relies on real-time personalized recommendations. However, building a productionized recommender system still remains challenging due to a massive collection of items, a huge ...
Joint Collaborative Ranking with Social Relationships in Top-N Recommendation
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementWith the advent of learning to rank methods, relevant studies showed that Collaborative Ranking (CR) models can produce accurate ranked lists in the top-N recommendation problem. However, in practice several real-world problems decrease their ranking ...
Predicting User Engagement in Twitter with Collaborative Ranking
RecSysChallenge '14: Proceedings of the 2014 Recommender Systems ChallengeCollaborative Filtering (CF) is a core component of popular web-based services such as Amazon, YouTube, Netflix, and Twitter. Most applications use CF to recommend a small set of items to the user. For instance, YouTube presents to a user a list of top-...
Comments
Information & Contributors
Information
Published In
Sponsors
- SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
- SIGIR: ACM Special Interest Group on Information Retrieval
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
- SIGecom: Special Interest Group on Economics and Computation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Extended-abstract
- Research
- Refereed limited
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 280Total Downloads
- Downloads (Last 12 months)14
- Downloads (Last 6 weeks)0
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 inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format