Multiple Connectivity Views for Session-based Recommendation
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- Multiple Connectivity Views for Session-based Recommendation
Recommendations
Inter-Session Modeling for Session-Based Recommendation
DLRS 2017: Proceedings of the 2nd Workshop on Deep Learning for Recommender SystemsIn recent years, research has been done on applying Recurrent Neural Networks (RNNs) as recommender systems. Results have been promising, especially in the session-based setting where RNNs have been shown to outperform state-of-the-art models. In many of ...
Deep Item-based Collaborative Filtering for Top-N Recommendation
Item-based Collaborative Filtering (ICF) has been widely adopted in recommender systems in industry, owing to its strength in user interest modeling and ease in online personalization. By constructing a user’s profile with the items that the user has ...
Long-tail Session-based Recommendation
RecSys '20: Proceedings of the 14th ACM Conference on Recommender SystemsSession-based recommendation focuses on the prediction of user actions based on anonymous sessions and is a necessary method in the lack of user historical data. However, none of the existing session-based recommendation methods explicitly takes the ...
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- 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
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Association for Computing Machinery
New York, NY, United States
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