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This paper proposes a new method for combining information in recommender systems based on Dempster-Shafer theory. Within this method, focal elements whose probabilities are less than or equal to an infinitesimal threshold are considered as noise that may be caused by the process of fusing information, and then eliminated. Comparing with two baselines, known as 2-points focused and 2-probabilities...
One of the challenges of MOOCs is to recommend appropriate courses to match individual characteristics of a special learner, although MOOCs are an excellent supplement of traditional higher education. Based on the effects of individual characteristics on learning, a novel framework is proposed for designing an undergraduate-oriented recommender system of MOOCs in which the particular characteristics...
A conversational recommender system iteratively shows a small set of options for its user to choose between. In order to select these options, the system may analyze the queries tried by the user to derive whether one option is dominated by others with respect to the user's preferences. This paper describes a framework for preference dominance. Two instances of the framework are developed for query...
Traveling-schedule (TS) arrangement is a classical ill-define problem which lacks of structure and fulfills uncertainty and dynamic complexity. In general, there are two ways to resolve TS arrangement (TSA) problem, including: package tourism provide by travel agency who arrange entire traveling program. The other is independent tourism that travelers should collect information and arrange all traveling-detail...
Current apparel e-commerce systems support online shopping based on electronic product catalogs. The major issues associated with catalog-based commerce systems are: difficulty in distinguishing one retailer from another, complex navigation with confusing links, and a lack of personalized service. This paper reports an intelligent solution to address these issues. Our solution will provide a personalized...
This paper studies the features of personal recommender system and personalized recommendation case organization according to the method of case-based reasoning(CBR). A lot of design thought and methods of the personal recommender case organization are discussed. Finally, the design methods of the personalized recommendation case organization are analyzed.
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