AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
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- AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
Recommendations
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RecSys '18: Proceedings of the 12th ACM Conference on Recommender SystemsUser-based Collaborative Filtering (CF) is one of the most popular approaches to create recommender systems. This approach is based on finding the most relevant k users from whose rating history we can extract items to recommend. CF, however, suffers ...
Integrating collaborative filtering and matching-based search for product recommendations
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Published In
- General Chairs:
- Grace Hui Yang,
- Hongning Wang,
- Sam Han,
- Program Chairs:
- Claudia Hauff,
- Guido Zuccon,
- Yi Zhang
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Association for Computing Machinery
New York, NY, United States
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- Research-article
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- National Natural Science Foundation of China
- Guangzhou-HKUST(GZ) Joint Funding Program
- Project funded by China Postdoctoral Science Foundation
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