A fuzzy hybrid recommender system

Recommender Systems (RSs) are largely used nowadays to generate interest items or products for web users. This paper proposed a novel recommendation technique based on fuzzy logic that combines a collaborative filtering and taxonomic based filtering together to make better quality recommendations as well as alleviate Stability/ Plasticity problem in RSs. Empirical evaluations are conducted, results are promising and they shown that the proposed technique is feasible and effective.

[1]  Douglas B. Terry,et al.  Using collaborative filtering to weave an information tapestry , 1992, CACM.

[2]  Yukun Cao,et al.  An intelligent fuzzy-based recommendation system for consumer electronic products , 2007, Expert Syst. Appl..

[3]  Paul Resnick,et al.  Recommender systems , 1997, CACM.

[4]  Ronald R. Yager,et al.  Fuzzy logic methods in recommender systems , 2003, Fuzzy Sets Syst..

[5]  Nicolas Werro,et al.  Recommending Products with a Fuzzy Classification. , 2006 .

[6]  David Heckerman,et al.  Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.

[7]  Michael J. Pazzani,et al.  User Modeling for Adaptive News Access , 2000, User Modeling and User-Adapted Interaction.

[8]  John Riedl,et al.  Recommender systems in e-commerce , 1999, EC '99.

[9]  Marc Leman,et al.  Using Fuzzy Logic to Handle the Users' Semantic Descriptions in a Music Retrieval System , 2007, IFSA.

[10]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[11]  Richi Nayak,et al.  Exploiting Item Taxonomy for Solving Cold-Start Problem in Recommendation Making , 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

[12]  Sophie Ahrens,et al.  Recommender Systems , 2012 .

[13]  Korris Fu-Lai Chung,et al.  Knowledge and Information Systems , 2017 .

[14]  Ivan Koychev,et al.  Learning User Interests through Positive Examples Using Content Analysis and Collaborative Filtering , 2001 .

[15]  Shi Xiaowei.  An Intelligent Recommendation System Based on Fuzzy Logic , 2004, ICINCO.

[16]  Daniel Gooch,et al.  Communications of the ACM , 2011, XRDS.

[17]  Chris Cornelis,et al.  A Fuzzy Relational Approach to Event Recommendation , 2005, IICAI.

[18]  H. Chris Tseng,et al.  Internet Applications with Fuzzy Logic and Neural Networks: A Survey , 2007 .

[19]  Kaname Funakoshi,et al.  A content-based collaborative recommender system with detailed use of evaluations , 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).