Learning and exploiting context dependencies for robust recommendations
We consider the recommendation problem, where a set of available items or choices are rated and recommended to users accordingly. Over and above the ratings information used in traditional filtering algorithms, the context of the user-recommender interaction is used to improve the recommendation...
Saved in:
主要作者: | |
---|---|
其他作者: | |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2010
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/41737 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
成為第一個發表評論!