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By the expanse of internet stores and products, recommender systems have emerged to increase store attractiveness and develop online customers. Recommender systems are systems which help customers to find product that they want. These systems recommend product to individual customer according to their preferences and interests. Recommender systems use several ways such as collaborative filtering and...
Privacy preserving data mining (PPDM) algorithms attempt to reduce the injuries to privacy caused by malicious parties during the rule mining process. Usually, these algorithms are designed for the semi-honest model, where participants do not deviate from the protocol. However, in the real-world, malicious parties may attempt to obtain the secret values of other parties by probing attacks or collusion...
Ontology matching is one of the main aspects of semantic Web, which aims at finding correspondences between entities of given ontologies. These found correspondences can be used for applications such as ontology merging, query rewriting, instance transformation, and so on. There has been proposed some algorithms and techniques for matching ontologies. One of these algorithms is multi-level matching...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.