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Review-based recommender systems have gained noticeable ground in recent years.
Incremental Singular Value Decomposition Algorithms for Highly Scalable Recommender Systems. In Fifth International Conference on Computer and Information Science
Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. 2002 · 2002
Earlier work this paper cites.
Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales. In Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Bo Pang and Lillian Lee. 2005 · 2005
Earlier work this paper cites.
Learning Word Vectors for Sentiment Analysis. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. 2011 · 2011
Earlier work this paper cites.
Collaborative Topic Modeling for Recommending Scientific Articles. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Chong Wang and David M. Blei. 2011 · 2011
Earlier work this paper cites.
From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise Through Online Reviews. In Proceedings of the 22Nd International Conference on World Wide Web
Julian John McAuley and Jure Leskovec. 2013 · 2013
Earlier work this paper cites.
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Cited alongside, same era.
Recursive deep models for semantic compositionality over a sentiment treebank. In Proceedings of the conference on empirical methods in natural language processing (EMNLP)
Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, Christopher Potts, et al · 2013
Cited alongside, same era.
Distributed Representations of Sentences and Documents. In Proceedings of the 31st International Conference on Machine Learning
Quoc Le and Tomas Mikolov. 2014 · 2014
Cited alongside, same era.
Recommender systems based on user reviews: the state of the art
Li Chen, Guanliang Chen, and Feng Wang. 2015 · 2015
Cited alongside, same era.
Hierarchical Neural Language Models for Joint Representation of Streaming Documents and Their Content. In Proceedings of the 24th International Conference on World Wide Web
Nemanja Djuric, Hao Wu, Vladan Radosavljevic, Mihajlo Grbovic, and Narayan Bhamidipati. 2015 · 2015
Later among the works it cites.
E-commerce in Your Inbox: Product Recommendations at Scale. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Jaikit Savla, Varun Bhagwan, and Doug Sharp. 2015 · 2015
Later among the works it cites.
From word embeddings to item recommendation
Makbule Gulcin Ozsoy. 2016 · 2016
Later among the works it cites.
Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation. In Proceedings of the 10th ACM Conference on Recommender Systems
Flavian Vasile, Elena Smirnova, and Alexis Conneau. 2016 · 2016
Later among the works it cites.
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