A common neighbour based two-way collaborative recommendation method
Chen, Lin, Nayak, Richi, & Xu, Yue (2012) A common neighbour based two-way collaborative recommendation method. In Ossowski, Sascha & Lecca, Paola (Eds.) Proceedings of the 27th Annual ACM Symposium on Applied Computing, ACM, Italy, pp. 214-215.
Traditional recommendation methods offer items, that are inanimate and one way recommendation, to users. Emerging new applications such as online dating or job recruitments require reciprocal people-to-people recommendations that are animate and two-way recommendations. In this paper, we propose a reciprocal collaborative method based on the concepts of users' similarities and common neighbors. The dataset employed for the experiment is gathered from a real life online dating network. The proposed method is compared with baseline methods that use traditional collaborative algorithms. Results show the proposed method can achieve noticeably better performance than the baseline methods.
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|Item Type:||Conference Paper|
|Keywords:||Online dating, Reciprocal, Recommender system, User profile, User preference|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 please consult the authors|
|Deposited On:||05 Aug 2012 23:50|
|Last Modified:||12 Jun 2013 15:05|
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