New Approaches to Diversity and Novelty in Recommender Systems | Zendy

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New Approaches to Diversity and Novelty in Recommender Systems

Author(s) -

Súul Vargas

Publication year - 2011

Publication title -

electronic workshops in computing

Language(s) - English

Resource type - Conference proceedings

ISSN - 1477-9358

DOI - 10.14236/ewic/fdia2011.2

Subject(s) - novelty , recommender system , diversification (marketing strategy) , diversity (politics) , computer science , field (mathematics) , artificial intelligence , data science , information retrieval , mathematics , marketing , sociology , anthropology , pure mathematics , business , philosophy , theology

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.

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