摘要
Recently, case-based reasoning has been widely used in electronic commerce by providing product recommendations that are most similar to user's needs. However in some cases, the most similar recommendations are not necessary the ones most acceptable or useful. There is a growing awareness of the need for providing alternatives to similarity-based retrieval, alternatives that attempt to improve the recommendation diversity. In this paper, we present a new retrieval algorithm which is able to optimize the trade-off between similarity and diversity. Experimental results show that the proposed algorithm can achieve a better overall quality than other approaches.
原文 | 英語 |
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主出版物標題 | 3rd International Conference on Innovative Computing Information and Control, ICICIC'08 |
DOIs | |
出版狀態 | 已發佈 - 9月 30 2008 |
對外發佈 | 是 |
事件 | 3rd International Conference on Innovative Computing Information and Control, ICICIC'08 - Dalian, Liaoning, 中国 持續時間: 6月 18 2008 → 6月 20 2008 |
會議
會議 | 3rd International Conference on Innovative Computing Information and Control, ICICIC'08 |
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國家/地區 | 中国 |
城市 | Dalian, Liaoning |
期間 | 6/18/08 → 6/20/08 |
ASJC Scopus subject areas
- 電腦科學應用
- 軟體
- 控制與系統工程