Constraint-based Recommender System for Commodity Realization

Constraint-Based Text Realization

An Integrated Knowledge Engineering Environment for Constraint-based Recommender Systems

Constraint-based recommenders support customers in identifying relevant items from complex item assortments. In this paper we present a constraint-based environment already deployed in real-world scenarios that supports knowledge acquisition for recommender applications in a MediaWiki-based context. This technology provides the opportunity do directly integrate informal Wiki content with comple...

Hybrid Recommender System Based on Variance Item Rating

K-nearest neighbors (KNN) based recommender systems (KRS) are among the most successful recent available recommender systems. These methods involve in predicting the rating of an item based on the mean of ratings given to similar items, with the similarity defined by considering the mean rating given to each item as its feature. This paper presents a KRS developed by combining the following app...

Ensemble-based Top-k Recommender System Considering Incomplete Data

Recommender systems have been widely used in e-commerce applications. They are a subclass of information filtering system, used to either predict whether a user will prefer an item (prediction problem) or identify a set of k items that will be user-interest (Top-k recommendation problem). Demanding sufficient ratings to make robust predictions and suggesting qualified recommendations are two si...

Designing a trust-based recommender system in Social Rating Networks

One of the most common styles of business today is electronic business, since it is considered as a principal mean for financial transactions among advanced countries. In view of the fact that due to the evolution of human knowledge and the increase of expectations following that, traditional marketing in electronic business cannot meet current generation’s needs, in order to survive, organizat...