DualDS: A Dual Discriminative Rating Elicitation Framework for Cold Start Recommendation

	DualDS: A Dual Discriminative Rating Elicitation Framework for Cold Start Recommendation
	Zhang, Xi; Cheng, Jian; Qiu, Shuang; Zhu, Guibo; Lu, Hanqing
发表期刊	Knowledge-Based Systems
	2015
期号	73 页码:161-172
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.
关键词	Cold Start Recommendation Rating Elicitation Discriminative Model Dual Regularization Sparse Regularization
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20128
专题	紫东太初大模型研究中心_图像与视频分析
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.

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