论文信息 - A Study on the Intelligent Business Matching System Using Celebrity Relationship Graph

A Study on the Intelligent Business Matching System Using Celebrity Relationship Graph

This paper proposes an intelligent recommendation system that has increasing promotion effect. Normally, intelligent recommendation system suggests suitable product to consumer but the Intelligent Recommendation System recommends fit well-known person to company for increasing promotion effect. It uses weight based algorithm and matching model based on well-known person relation graph.

[1] R. Kohli,et al. Internet Recommendation Systems , 2000 .

[2] Zhixiao Wang,et al. Community-based Collaborative Filtering Recommendation Algorithm , 2015 .

[3] Yoav Shoham,et al. Fab: content-based, collaborative recommendation , 1997, CACM.

[4] Pabitra Mitra,et al. Feature weighting in content based recommendation system using social network analysis , 2008, WWW.

[5] Haesung Lee,et al. Personalized TV Contents Recommender System Using Collaborative Context tagging-based User's Preference Prediction Technique , 2014, MUE 2014.

[6] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.

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

[8] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[9] M. Newman,et al. Hierarchical structure and the prediction of missing links in networks , 2008, Nature.

[10] Fan Li,et al. An Expected Item Bias based Hybrid Approach for Recommendation System 1 , 2014 .

[11] Xin Xia,et al. A collaborative filtering recommendation algorithm based on contents' genome , 2012 .