中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
DualDS: A Dual Discriminative Rating Elicitation Framework for Cold Start Recommendation

文献类型:期刊论文

作者Zhang, Xi; Cheng, Jian; Qiu, Shuang; Zhu, Guibo; Lu, Hanqing
刊名Knowledge-Based Systems
出版日期2015
期号73页码:161-172
关键词Cold Start Recommendation Rating Elicitation Discriminative Model Dual Regularization Sparse Regularization
英文摘要Cold start problem is challenging because no prior knowledge can be used in recommendation. To address this cold start scenario, rating elicitation is usually employed, which profiles cold user or item by acquiring ratings during an initial interview. However, how to elicit the most valuable ratings is still an open problem. Intuitively, category labels which indicate user preferences and item attributes are quite useful. For example, category information can be served as a guidance to generate a set of queries which can largely capture the interests of cold users, and thus appealing recommendation lists are more likely to be returned. Therefore, we exploit category labels as supervised information to select discriminative queries. Furthermore, by exploring the correlation between users and items, a dual regularization is developed to jointly select optimal representatives. As a consequent, a novel Dual Discriminative Selection (DualDS) framework for rating elicitation is proposed in this paper, by integrating discriminative selection with dual regularization. Experiments on two real-world datasets demonstrate the effectiveness of DualDS for cold start recommendation.
源URL[http://ir.ia.ac.cn/handle/173211/20128]  
专题自动化研究所_模式识别国家重点实验室_图像与视频分析团队
推荐引用方式
GB/T 7714
Zhang, Xi,Cheng, Jian,Qiu, Shuang,et al. DualDS: A Dual Discriminative Rating Elicitation Framework for Cold Start Recommendation[J]. Knowledge-Based Systems,2015(73):161-172.
APA Zhang, Xi,Cheng, Jian,Qiu, Shuang,Zhu, Guibo,&Lu, Hanqing.(2015).DualDS: A Dual Discriminative Rating Elicitation Framework for Cold Start Recommendation.Knowledge-Based Systems(73),161-172.
MLA Zhang, Xi,et al."DualDS: A Dual Discriminative Rating Elicitation Framework for Cold Start Recommendation".Knowledge-Based Systems .73(2015):161-172.

入库方式: OAI收割

来源:自动化研究所

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