Aviad Levy

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Recommender systems are now an integral part of many e-commerce websites, providing people relevant products they should consider purchasing. To date, many types of recommender systems have been proposed, with major categories belonging to item-based, user-based (collaborative) or knowledge-based algorithms. In this paper, we present a hybrid system that(More)
Figure 5: Details of the simulations. Average number of requests per algorithm and per data set n = 3; 6; 9 leads to the highest costs. However, GBS achieves results that are a little better than Greedy 9. Approx obtains results similar to Greedy. Note that GBS and Approx are ooine algorithms and are based only on the topology of the query graph (for GBS)(More)
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