Title :
Recommender System Based on Consumer Product Reviews
Author :
Aciar, Silvana ; Zhang, Debbie ; Simoff, Simeon ; Debenham, John
Author_Institution :
Univ. of Girona
Abstract :
Consumer reviews, opinions and shared experiences in the use of a product is a powerful source of information about consumer preferences that can be used in recommender systems. Despite the importance and value of such information, there is no comprehensive mechanism that formalizes the opinions selection and retrieval process and the utilization of retrieved opinions due to the difficulty of extracting information from text data. In this paper, a new recommender system that is built on consumer product reviews is proposed. A prioritizing mechanism is developed for the system. The proposed approach is illustrated using the case study of a recommender system for digital cameras
Keywords :
Internet; consumer behaviour; consumer products; information filtering; information filters; consumer opinion selection; consumer preferences; consumer product reviews; recommender system; retrieval process; Australia; Collaboration; Consumer products; Data mining; Digital cameras; Filtering; Information resources; Information retrieval; Recommender systems; Text mining;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
DOI :
10.1109/WI.2006.144
