In the Mood4: recommendation by examples
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- In the Mood4: recommendation by examples
Recommendations
User preference representation based on psychometric models
ADC '11: Proceedings of the Twenty-Second Australasian Database Conference - Volume 115Neighbourhood-based collaborative filtering is one of the most popular recommendation techniques, and has been applied successfully in various fields. User ratings are often used by neighbourhood-based collaborative filtering to compute the similarity ...
A novel user-based collaborative filtering method by inferring tag ratings
User-based collaborative filtering is one of the most widely-used recommendation methods. It recommends items to a user based on her similar users' preferences. The essential part of user-based collaborative filtering is to infer users' similarities. A ...
Using inferred tag ratings to improve user-based collaborative filtering
SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied ComputingUser-based collaborative filtering is one of the most widely-used recommender methods. It recommends items to a user according to her similar users' opinions. The key point of user-based collaborative filtering is to compute users' similarities. In ...
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- General Chair:
- Giovanna Guerrini,
- Program Chair:
- Norman W. Paton
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Association for Computing Machinery
New York, NY, United States
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