Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/3835
Title: Enhancing recommender systems development with human, social, cultural and organizational factors
Authors: Mavromoustakos, Stephanos M. 
Andreou, Andreas S. 
Keywords: Cultural;Development activity;Human;Organizational factors;Software systems development;User behavior modeling;Web information;Information systems;Recommender systems;Behavioral research
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: Jul-2011
Source: 13th International Conference on Enterprise Information Systems, Beijing, China, 8-11 July 2011, vol. 4
Conference: International Conference on Enterprise Information Systems 
Abstract: 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 self-contained 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.
URI: http://ktisis.cut.ac.cy/handle/10488/3835
DOI: 10.5220/0003553202110214
Rights: 2011 SCITEPRESS
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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