Long term goal oriented recommender systems

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Nabizadeh, AH (Author) Other; Jorge, AM (Author) FCUP; Leal, JP (Author) FCUP

Conference proceedings International

Title: WEBIST 2015 - 11th International Conference on Web Information Systems and Technologies, Proceedings

Pages: 552-557

11th International Conference on Web Information Systems and Technologies, WEBIST 2015

20 May 2015 through 22 May 2015

Indexing

Scopus - 14 Citations

Other information

Authenticus ID: P-00G-SXJ

DOI: 10.5220/0005493505520557

Abstract (EN): The main goal of recommender systems is to assist users in finding items of their interest in very large collections. The use of good automatic recommendation promotes customer loyalty and user satisfaction because it helps users to attain their goals. Current methods focus on the immediate value of recommendations and are evaluated as such. This is insufficient for long term goals, either defined by users or by platform managers. This is of interest in recommending learning resources to learn a target concept, and also when a company is organizing a campaign to lead users to buy certain products or moving to a different customer segment. Therefore, we believe that it would be useful to develop recommendation algorithms that promote the goals of users and platform managers (e.g. e-shop manager, e-learning tutor, ministry of culture promotor). Accordingly, we must define appropriate evaluation methodologies and demonstrate the concept on practical cases.

Language: English

Type (Professor's evaluation): Scientific