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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.

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Abstract

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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ID Code: 52931
Item Type: Conference Paper
Keywords: Online dating, Reciprocal, Recommender system, User profile, User preference
DOI: 10.1145/2245276.2245317
ISBN: 978-1-4503-0857-1
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: 06 Aug 2012 09:50
Last Modified: 13 Jun 2013 01:05

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