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Mining product adopter information from online reviews for improving product recommendation
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Zhao, Wayne Xin, Wang, Jinpeng, He, Yulan, Wen, Ji-Rong, Chang, Edward Y. and Li, Xiaoming (2016) Mining product adopter information from online reviews for improving product recommendation. ACM Transactions on Knowledge Discovery from Data (TKDD), 10 (3). pp. 1-23. 29. doi:10.1145/2842629 ISSN 1556-4681.
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WRAP-mining-product-adopter-information-online-reviews-improving-product-recommendation-He-2018.pdf - Accepted Version - Requires a PDF viewer. Download (863Kb) | Preview |
Official URL: http://dx.doi.org/10.1145/2842629
Abstract
We present in this article an automated framework that extracts product adopter information from online reviews and incorporates the extracted information into feature-based matrix factorization for more effective product recommendation. In specific, we propose a bootstrapping approach for the extraction of product adopters from review text and categorize them into a number of different demographic categories. The aggregated demographic information of many product adopters can be used to characterize both products and users in the form of distributions over different demographic categories. We further propose a graph-based method to iteratively update user- and product-related distributions more reliably in a heterogeneous user--product graph and incorporate them as features into the matrix factorization approach for product recommendation. Our experimental results on a large dataset crawled from JingDong, the largest B2C e-commerce website in China, show that our proposed framework outperforms a number of competitive baselines for product recommendation.
Item Type: | Journal Article | |||||||||||||||
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Subjects: | H Social Sciences > HF Commerce Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Electronic commerce -- Demographic aspects -- China, Consumers' preferences, Product placement in mass media | |||||||||||||||
Journal or Publication Title: | ACM Transactions on Knowledge Discovery from Data (TKDD) | |||||||||||||||
Publisher: | ACM | |||||||||||||||
ISSN: | 1556-4681 | |||||||||||||||
Official Date: | February 2016 | |||||||||||||||
Dates: |
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Volume: | 10 | |||||||||||||||
Number: | 3 | |||||||||||||||
Page Range: | pp. 1-23 | |||||||||||||||
Article Number: | 29 | |||||||||||||||
DOI: | 10.1145/2842629 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Reuse Statement (publisher, data, author rights): | © ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Knowledge Discovery from Data (TKDD), http://dx.doi.org/10.1109/TKDE.2014.2359672 | |||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||
Date of first compliant deposit: | 29 September 2018 | |||||||||||||||
Date of first compliant Open Access: | 2 October 2018 | |||||||||||||||
RIOXX Funder/Project Grant: |
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