Binary recommender systems: Introduction, an application and outlook

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Jorge, AM (Author) FCUP

Conference proceedings International

Title: ACM International Conference Proceeding Series

Pages: 1-2

6th International C* Conference on Computer Science and Software Engineering, C3S2E 2013

Porto, 10 July 2013 through 12 July 2013

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-008-D4M

DOI: 10.1145/2494444.2494491

Abstract (EN): Recommender Systems are a hot application area these days, made popular by well known web sites. The problem of predicting user preferences is very demanding from the data mining algorithm design point of view, but it also poses challenges to evaluation and monitoring. Moreover, there is a lot of information that can be exploited, from clickstreams and background information to musical content and social interaction. As data grows and recommendation requests must be answered in a split second, online and agile solutions must be implemented. In this talk we will give a brief introduction to binary recommender systems, describe a particular hybrid application to music recommendation - from algorithm to online evaluation, and refer to context aware and online recommender algorithms. © 2013 ACM.

Language: English

Type (Professor's evaluation): Scientific