期刊名称：International Journal of Distributed and Parallel Systems
印刷版ISSN：2229-3957
电子版ISSN：0976-9757
出版年度：2012
卷号：3
期号：5
DOI：10.5121/ijdps.2012.3507
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：As more and more information became available electronically, the need for effective information retrieval and implementation of filtering tools have became essential for easy access of relevant information. Recommender Systems (RS) are software tools and techniques providing suggestions for items and/or services to be of use to a user. These systems are achieving widespread success in ecommerce applications now a days, with the advent of internet. This paper presents a categorical review of the field of recommender systems and describes the state-of-the-art of the recommendation methods that are usually classified into four categories: Content based Collaborative, Demographic and Hybrid systems. This paper discusses the pro’s and con’s of the current categories as well as the trustworthiness of the recommender system in a new dimension as evaluating the evaluator for more appropriate recommendations. In the domain of recommender system, this work also put forward the use of agents as an enabling technology.
关键词：Collaboration; Demography; Information Filtering; Recommender System; Agent; Trust
