CoFiDS: A Belief-Theoretic Approach for Automated Collaborative Filtering

A Community-Based Collaborative Filtering System Dealing with Sparsity Problem and Data Imperfections

“…Each unrated entry in the DS rating matrix is modeled by vacuous evidence. We obtain the method in [15] to incorporate context information from different sources for reducing the uncertainty introduced by vacuous evidence. Here, context information is represented as P concepts, and each of them consists of a number of groups.…”

“…We apply the method proposed in [15] for predicting unprovided rating data in sub-rating matrix R t = {r ik }, where U i ∈ c t , and k = 1, N. Let us consider that all items rated by a user U i and all users who have already rated an item I k are denoted by R …”

“…Among these limitations, the sparsity problem is known as a major drawback [9]. So far, various methods have been developed for overcoming the sparsity problem such as using latent factors [11] or context information [15] for generating unprovided rating data. This paper attempts to predict all unprovided rating data using community context information extracted from the social network consisting of all users for dealing with the sparsity problem.…”

“…Until now, a number of mathematical theories have been developed for representing data imperfections, such as Dempster-Shafer (DS) theory [4,13], probability theory [5], possibility theory [17]. Among these, DS theory is considered to be the most general theory for representing imperfection data [8,15]. With DS theory, rating entries in the rating matrix can be represented as soft rating values.…”

Mobile-based CBR System using Dempster-Shafer Modification Rule for Tourist Spots Recommendations in Buleleng Regency

“…Based on the description of the problem and the research that has been done before by [2,3,4,5,6,7,8,9,10] it is necessary for development of a mobile-based CBR system using the Dempster-Shafer modification rule to recommend tourist spots that exist in Buleleng Regency. The focus of this study were 1) to design a mobile-based CBR system using the Dempster Shafer modification rule for recommendations of tourist spots in Buleleng Regency and 2) to determine the accuracy of the resulting percentage of mobile-based CBR system using the Dempster-Shafer modification rule for recommendations of tourist spots in Buleleng Regency.…”