CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
DualDS: A Dual Discriminative Rating Elicitation Framework for Cold Start Recommendation
Zhang, Xi; Cheng, Jian; Qiu, Shuang; Zhu, Guibo; Lu, Hanqing
Source PublicationKnowledge-Based Systems
2015
Issue73Pages:161-172
AbstractCold 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.
KeywordCold Start Recommendation Rating Elicitation Discriminative Model Dual Regularization Sparse Regularization
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20128
Collection模式识别国家重点实验室_图像与视频分析
Recommended Citation
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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