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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 the ncategorise into a number of different demographic user groups. The aggregated demographic information of many product adopters can be used to characterize 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 effectiven...
Product recommender systems are often deployed by e-commerce websites to improve user experience and...
As online shopping becomes increasingly more popu-lar, many shopping web sites encourage existing cu...
Abstract — Nowadays, there is a trend of online shopping as more and more products are being sold by...
The availability of the sheer volume of online product reviews makes it possible to derive implicit ...
We present in this article an automated framework that extracts product adopter information from onl...
In many e-commerce Web sites, product recommendation is essential to improve user experience and boo...
In this paper, we first classify the text reviews given by different users on different products. Th...
In the era of online shopping, Online platforms are loaded with online shopping. Nowadays, online sh...
Personalized recommendation systems are becoming increasingly popular in e-commerce. One of the core...
Big data commerce has become an e-commerce trend. Learning how to extract valuable and real time ins...
Recommender systems apply statistical and knowledge discovery techniques to the problem of making pr...
As internet is spreading out its bound, the demand of online transaction is also getting considerabl...
Nowadays online shopping is emerging as a growth of business. Customers are getting used to purchasi...
xviii, 299 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P ISE 2013 JinTo improve pr...
Consumer reviews have emerged as one of the most influential factors in a person's purchase behavior...
Product recommender systems are often deployed by e-commerce websites to improve user experience and...
As online shopping becomes increasingly more popu-lar, many shopping web sites encourage existing cu...
Abstract — Nowadays, there is a trend of online shopping as more and more products are being sold by...
The availability of the sheer volume of online product reviews makes it possible to derive implicit ...
We present in this article an automated framework that extracts product adopter information from onl...
In many e-commerce Web sites, product recommendation is essential to improve user experience and boo...
In this paper, we first classify the text reviews given by different users on different products. Th...
In the era of online shopping, Online platforms are loaded with online shopping. Nowadays, online sh...
Personalized recommendation systems are becoming increasingly popular in e-commerce. One of the core...
Big data commerce has become an e-commerce trend. Learning how to extract valuable and real time ins...
Recommender systems apply statistical and knowledge discovery techniques to the problem of making pr...
As internet is spreading out its bound, the demand of online transaction is also getting considerabl...
Nowadays online shopping is emerging as a growth of business. Customers are getting used to purchasi...
xviii, 299 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P ISE 2013 JinTo improve pr...
Consumer reviews have emerged as one of the most influential factors in a person's purchase behavior...
Product recommender systems are often deployed by e-commerce websites to improve user experience and...
As online shopping becomes increasingly more popu-lar, many shopping web sites encourage existing cu...
Abstract — Nowadays, there is a trend of online shopping as more and more products are being sold by...
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