Category Archives: References

Handling Data Sparsity in Collaborative Filtering using Emotion and Semantic Based Features

| February 11, 2014 10:57 am |

ACM SIGIR ’11 Yashar Moshfeghi (University of Glasgow, Glasgow, United Kingdom) Benjamin Piwowarski (University of […]

A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce

| February 3, 2014 6:16 pm |

IEEE Intelligent Systems ’07 Zan Huang (Pennsylvania State University, James City, USA) Daniel Zeng (University […]

A Random Walk Method for Alleviating the Sparsity Problem in Collaborative Filtering

| January 25, 2014 2:47 pm |

ACM conference on Recommender Systems – RecSys ’08 Hilmi Yildirim (Rensselaer Polytechnic Institute, Troy, New […]

Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking

| October 7, 2013 11:57 am |

IEEE Transactions on Systems, Man, and Cybernetics – PART B: Cybernetics ’12 Qi Liu (University […]

TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling

| June 16, 2013 1:06 pm |

IEEE International Conference on Data Mining ’11 Younghoon Kim (Seoul National University, Seoul, South Korea) […]

The Wisdom of the Few: A Collaborative Filtering Approach Based on Expert Opinions from the Web

| May 8, 2013 10:23 pm |

ACM Special Interest Group on Information Retrieval ’09 Xavier Amatriain (Telefonica Research, Barcelona, Spain) Neal […]

Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions

| March 6, 2013 2:14 pm |

IEEE Transactions on Knowledge and Data Engineering ’05 Gediminas Adomavicius (Minnesota University., Minneapolis, MN, USA) […]