A novel approach for recommending ranked user-generated reviews

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6085 LNAI, Issue , 2010, Pages 324-327

  Zhang, Richong ^a   Tran, Thomas T ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Helpfulness ranking; User generated review

Indexed keywords

ASSESSING MODEL; HELPFULNESS RANKING; MODEL-BASED; POPULATION SIZES; PROBABILITY DENSITIES; PURCHASE DECISION;

POPULATION STATISTICS; PROBABILITY DENSITY FUNCTION;

ARTIFICIAL INTELLIGENCE;

EID: 77953747484     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13059-5_38     Document Type: Conference Paper

References (3)

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2. Liu, Y., Huang, X., An, A., Yu, X.: Modeling and predicting the helpfulness of online reviews. In: Proceedings of the 18th IEEE International Conference on Data Mining, December 2008, pp. 443-452 (2008)
3. Weimer, M., Gurevych, I., Mühlhäuser, M.: Automatically assessing the post quality in online discussions on software. In: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume Proceedings of the Demo and Poster Sessions, June 2007, pp. 125-128 (2007)