A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews

Aspect extraction in sentiment analysis: comparative analysis and survey

(2016) Toqir A. Rana et al.   ARTIFICIAL INTELLIGENCE REVIEW

Recommender systems based on user reviews: the state of the art

(2015) Li Chen et al.   USER MODELING AND USER-ADAPTED INTERACTION

Preference-based clustering reviews for augmenting e-commerce recommendation

(2013) Li Chen et al.   KNOWLEDGE-BASED SYSTEMS

Generating virtual ratings from chinese reviews to augment online recommendations

(2013) Weishi Zhang et al.   ACM Transactions on Intelligent Systems and Technology

Combining user preferences and user opinions for accurate recommendation

(2012) Hongyan Liu et al.   Electronic Commerce Research and Applications

Improving the quality of predictions using textual information in online user reviews

(2012) Gayatree Ganu et al.   INFORMATION SYSTEMS

Opinion Word Expansion and Target Extraction through Double Propagation

(2011) Guang Qiu et al.   COMPUTATIONAL LINGUISTICS

Lexicon-Based Methods for Sentiment Analysis

(2011) Maite Taboada et al.   COMPUTATIONAL LINGUISTICS

Solving the apparent diversity-accuracy dilemma of recommender systems

(2010) T. Zhou et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Matrix Factorization Techniques for Recommender Systems

(2009) Yehuda Koren et al.   COMPUTER