User-based Opinion-based Recommendation

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Title: User-based Opinion-based Recommendation
Authors: Dong, Ruihai
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/9358
Date: 25-Aug-2017
Abstract: User-generated reviews are a plentiful source of user opinions and interests and can play an important role in a range of artificial intelligence contexts, particularly when it comes to recommender systems. In this paper, we describe how natural language processing and opinion mining techniques can be used to automatically mine useful recommendation knowledge from user generated reviews and how this information can be used by recommender systems in a number of classical settings.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: International Joint Conferences on Artificial Intelligence
Copyright (published version): 2017 International Joint Conferences on Artificial Intelligence
Keywords: Recommender Systems
DOI: 10.24963/ijcai.2017/674
Language: en
Status of Item: Peer reviewed
Conference Details: Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Australia, August 19-25 2017
Appears in Collections:Computer Science Research Collection
Insight Research Collection

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