ENHANCING RECOMMENDER SYSTEMS DEVELOPMENT WITH HUMAN, SOCIAL, CULTURAL AND ORGANIZATIONAL FACTORS

摘要：

Recommender Systems (RS) aim at suggesting filtered Web information adapted to the needs or interests of users by predicting their access behavior using a certain strategy or algorithm. The creation of RS is usually approached focusing mostly on user behavior modeling,while the recommendation engine often neglects critical,non-technical aspects of software systems development.Conceiving a RS primarily as a selfcontained or part of a Web-application,the present paper utilizes the SpiderWeb methodology and takes into account important requirements that result from human,cultural, social and organizational factors (HSCO) so as to drive the RS development activities.

关键词： Web Recommender Systems Human Cultural Social and organizational factors

作者: Andreas S.Andreou Stephanos Mavromoustakos

作者单位: Department of Electrical Engineering and Information Technology,Cyprus University of Technology P.O. Department of Computer Science and Engineering,European University Cyprus,P.O.Box 22006,1516 Nicosia

会议类型: 国际会议

会议名称: 13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

会议地点: 北京

会议语种:英文

页码: 814-817

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）