User-based Opinion-based Recommendation
|Title:||User-based Opinion-based Recommendation||Authors:||Dong, Ruihai
|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|
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