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Leveraging Product Adopter Information from Online Reviews for Product Recommendation

Authors

Jinpeng Wang,Wayne Zhao,Yulan He,Xiaoming Li

Peking University,Renmin University of China,Aston University,Peking University


Proceedings:

Proceedings of the International AAAI Conference on Web and Social Media, 9

Volume

Issue:

Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media

Track:

Full Papers

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Abstract:

The availability of the sheer volume of online product reviews makes it possible to derive implicit demographic information of product adopters from review documents. This paper proposes a novel approach to the extraction of product adopter mentions from online reviews. The extracted product adopters are then categorise into a number of different demographic user groups. The aggregated demographic information of many product adopters can be used to characterise both products and users, which can be incorporated into a recommendation method using weighted regularised matrix factorisation. Our experimental results on over 15 million reviews crawled from JINGDONG, the largest B2C e-commerce website in China, show the feasibility and effectiveness of our proposed framework for product recommendation.

DOI:

10.1609/icwsm.v9i1.14585


ICWSM

Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media