Deep learning with consumer preferences for recommender system

Gao Tingwei
Gao Tingwei
Tang Youhua
Tang Youhua

2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016, pp. 1556-1561, 2017.

Cited by: 0|Bibtex|Views25|DOI:https://doi.org/10.1109/ICInfA.2016.7832066
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

With the arrival of big data era and the fast development of E-commerce, recommender systems(RSs) are used in more and more application domains to assist customers in the search for their favorite products. Collaborative filtering(CF) is one of the most successful and widely used recommendation approaches. Poor recommender quality is a ma...More

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