Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
Abstract
Supplemental Material
- Download
- 3.08 MB
- Download
- 3.09 MB
References
Index Terms
- Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
Recommendations
Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks
ICTIR '19: Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information RetrievalThe two main tasks addressed by collaborative filtering approaches are rating prediction and ranking. Rating prediction models leverage explicit feedback (e.g. ratings), and aim to estimate the rating a user would assign to an unseen item. In contrast, ...
Graph-based collaborative ranking
GRank is a novel framework, designed for recommendation based on rank data.GRank handles the sparsity problem of neighbor-based collaborative ranking.GRank uses the novel TPG graph structure to model users' choice context.GRank directly ranks itemsfor a ...
Serendipitous recommendations via innovators
SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrievalTo realize services that provide serendipity, this paper assesses the surprise of each user when presented recommendations. We propose a recommendation algorithm that focuses on the search time that, in the absence of any recommendation, each user would ...
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
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Short-paper
- Research
- Refereed limited
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 712Total Downloads
- Downloads (Last 12 months)712
- Downloads (Last 6 weeks)42
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