A Tag-Based Recommender System-Reference-Cited by-同舟云学术

A Tag-Based Recommender System

Published:2015-09-03 Issue: Volume: Page:1049-1061
ISSN:2194-5357
Container-title:Intelligent Autonomous Systems 13
language:
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Author:

De Caro Pietro,Pini Maria Silvia,Sambo Francesco

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-08338-4_76

Reference26 articles.

1. G. Adomavicius and A. Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6):734–749, 2005.

2. Hyunhg Jun Ahn. A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Information Sciences, 178(1):37–51, 2008.

3. S. Badaloni, F. Sambo, and F. Venco. Bayesian Network structure learning: hybridizing complete search with independence tests. AI Communications, 28(2):309–322, 2015.

4. D. Billsus, C. A. Brunk, C. Evans, B. Gladish, and M. Pazzani. Adaptive interfaces for ubiquitous web access. Communications of the ACM, 45:34–38, 2002.

5. Esma Nur Cinicioglu and Prakash P. Shenoy. A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores. Annals of Operations Research, pages 1–21, 2012.

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