ieee projects 2016 Tanjore(Thanjavur), Pudukkottai High utility item sets (HUIs) mining is an emerging topic in data mining, which refers to discovering all item-sets having a utility meeting a user-specified minimum utility threshold min_util. However, setting min_util appropriately is a difficult problem for users. Generally speaking, finding an appropriate minimum utility threshold by trial and […]
A Novel Recommendation Model Regularized with User Trust and Item Ratings
Chennai, Trichy We propose TrustSVD, a trust-based matrix factorization technique for recommendations. TrustSVD integrates multiple information sources into the recommendation model in order to reduce the data sparsity and cold start problems and their degradation of recommendation performance. An analysis of social trust data from four real-world data sets suggests that not only the explicit […]