Diversity in recommender systems – A survey-Reference-Cited by-同舟云学术

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Diversity in recommender systems – A survey

Published:2017-05 Issue: Volume:123 Page:154-162
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Kunaver Matevž,Požrl Tomaž

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference75 articles.

1. An Introduction to Modern Information Retrieval;Salton,1986

2. Improving recommendation diversity;Bradley,2001

3. Increasing top-20 search results diversity through recommendation post-processing;Kunaver,2014

4. Increasing top-20 diversity through recommendation post-processing;Kunaver,2014

5. Using latent features to measure the diversity of recommendation lists;Kunaver,2015

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