Zhao, Sanqiang and Han, Shuguang and Meng, Rui and He, Daqing and Zhang, Danchen
(2016)
Learning Semantic Representation from Restaurant Reviews: A Study of Yelp Dataset.
In: IConference 2017, 22 March 2017 - 25 March 2017, Wuhan, China.
This is the latest version of this item.
Abstract
Users' preference such as rating only provides uni-dimension information, but reasons behind users' preference may be related to various aspects of an item, such as the types, certain attributes. By observing user-generated review always provides such rich information, we proposed an item representation based on review data. This approach supports semantic operation, which could potentially enables more recommendation scenarios. Our experiments further demonstrated that this approach gained much better performance than classical item representation methods.
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Learning Semantic Representation from Restaurant Reviews: A Study of Yelp Dataset. (deposited 19 Jun 2017 14:26)
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