Alleviation of Data Overdispersion On Implicit Feedback for Recommender Systems
博士 === 國立臺灣大學 === 電機工程學研究所 === 107 === Matrix factorization has earned great success on recommender systems. In real-world implicit feedback, values of entries follow power-law distributions approximately. More specifically, several entries have extraordinary high values, which are called overdisper...
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| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/q8tb9p |