New Approaches to Diversity and Novelty in Recommender Systems

Abstract

Beyond accuracy, novelty and diversity have attracted increasing interest as quality factors of Recommender Systems (RS) in the last few years. This paper presents work in progress towards the application of intentoriented IR diversity techniques to the RS field, and the formalization of novelty and diversity metrics for RS. Experimental results show that the resulting diversification techniques produce interesting results with respect to the metrics defined here.

Contributors

Súul Vargas

Conference

Publication date: August 2011

Publication date (Print): August 2011

Pages: 8-13

Affiliations

Universidad Autónoma de Madrid

Departamento de Ingeniería Informática

Madrid, 28049 Spain

Article

DOI: 10.14236/ewic/FDIA2011.2

Copyright statement: © Súul Vargas. Published by BCS Learning and Development Ltd. Fourth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2011), Koblenz, Germany

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Fourth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2011)

Conference acronym: FDIA

Conference number: 4

Conference location: Koblenz, Germany

Conference date: 31 August 2011

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Future Directions in Information Access (FDIA 2011)

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/FDIA2011.2

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing