LOTMAP: learning to optimize top-N recommendation with mean average precision
文献类型:期刊论文
作者 | Yang Yehui1![]() ![]() ![]() ![]() |
刊名 | Innovative Computing, Information and Control Express Lettersv
![]() |
出版日期 | 2014-12 |
卷号 | 8期号:12页码:3299-3306 |
关键词 | Top-n Recommendation Collaborative Filtering Optimize Matrix Factorization Mean Average Precision |
英文摘要 | People tend to pay attention to the top few items given by recommendation system, it's crucial to ensure the precision and personalization at the top of recommendation list. In this paper, we propose a ranking-oriented Collaborative Filtering (CF) algorithm LOTMAP, which aims to optimize the top-N recommendation by directly maximizing Mean Average Precision (MAP). As the relevance between users and items are not clarified in rating datasets, we also introduce a new method that judges the relevance through the explicit rating scores. Experiments on real world datasets show that our algorithm is effective, and outperforms the state-of-the-art CF baselines. |
源URL | [http://ir.ia.ac.cn/handle/173211/11502] ![]() |
专题 | 精密感知与控制研究中心_精密感知与控制 |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.$Karamay Hongyou Software CO., LTD |
推荐引用方式 GB/T 7714 | Yang Yehui,Zhang Wensheng,Xie Yuan,et al. LOTMAP: learning to optimize top-N recommendation with mean average precision[J]. Innovative Computing, Information and Control Express Lettersv,2014,8(12):3299-3306. |
APA | Yang Yehui,Zhang Wensheng,Xie Yuan,Zhu Limin,&Tan Yuanhua.(2014).LOTMAP: learning to optimize top-N recommendation with mean average precision.Innovative Computing, Information and Control Express Lettersv,8(12),3299-3306. |
MLA | Yang Yehui,et al."LOTMAP: learning to optimize top-N recommendation with mean average precision".Innovative Computing, Information and Control Express Lettersv 8.12(2014):3299-3306. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。