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	Taxonomy-oriented recommendation towards recommendation with stage
	Li, Lei ; Hong, Wenxing ; Li, Tao ; Hong WX(洪文兴)
	2012
关键词	Electronic commerce Life cycle Sales
英文摘要	Conference Name:14th Asia Pacific Web Technology Conference, APWeb 2012. Conference Address: Kunming, China. Time:April 11, 2012 - April 13, 2012.; Hebei University of Engineering; Nanjing University of Finance and Economics; National Science Foundation of China; Kunming University of Science and Technology; Graduate University of Chinese Academy of Science; Victoria University; In some E-commerce recommender systems, a special class of recommendation involves recommending items to users in a life cycle. For example, customers who have babies will shop on Amazon within a relatively long period, and purchase different products for babies within different growth stages. Traditional recommendation algorithms cannot effectively resolve the situation with a life cycle. In this paper, we model users' behavior with life cycles by employing hand-crafted item taxonomies, of which the background knowledge can be tailored for the computation of personalized recommendation. In particular, our method first formalizes a user's long-term behavior using the item taxonomy, and then identify the exact stage of this user. By incorporating collaborative filtering into our method, we can easily provide a personalized item list to this user through other similar users within the same stage. An empirical evaluation conducted on a purchasing data collection obtained from Amazon demonstrates the efficacy of our proposed method. 漏 2012 Springer-Verlag Berlin Heidelberg.
语种	英语
出处	http://dx.doi.org/10.1007/978-3-642-29253-8_19
出版者	Springer Verlag
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86705]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Li, Lei,Hong, Wenxing,Li, Tao,et al. Taxonomy-oriented recommendation towards recommendation with stage. 2012-01-01.

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