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secondhand seller reputation in online markets a text analytics framework开题资料.pdf


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secondhand seller reputation in online markets a text analytics framework开题资料.pdf
文档介绍:
Decision Support Systems 108 (2018) 96–106
Contents lists available at ScienceDirect
Decision Support Systems
journal homepage: www.elsevier.com/locate/dss
Secondhand seller reputation in online markets: A text
analytics framework
Runyu Chen a,YitongZhenga, Wei Xu a,b,⁎, Minghao Liu a, Jiayue Wang a
a School of Information, Renmin University of China, Beijing 100872, PR China
b Smart City Research Center, Renmin University of China, Beijing 100872, PR China
article info abstract
Article history: With the rapid development of e-commerce, a new type of secondhand e-commerce website has appeared in re-
Received 1 July 2017 cent years. Any user can have his or her own shop and list superfluous items for sale online without much super-
Received in revised form 9 December 2017 vision. These secondhand e-commerce platforms maximize the economic value of secondhand markets online,
Accepted 20 February 2018
but buyers risk conducting unpleasant transactions with low-reputation sellers. The main contribution of our re-
Available online 24 February 2018
search is the design of a text analytics framework to assess secondhand sellers' reputation. In addition, we de-
velop a new aspect-extraction method that combines the results of domain ontology and topic modeling to
Keywords:
Secondhand e-commerce extract topical features from product descriptions. We conduct our experiments based on a real-word dataset
Reputation assessment crawled from XianYu. The experimental results reveal that our ontology-bas
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