1 While current and emergent applications become more and more complex, most of existing security policies and models only consider a yes/no response to the access requests. Consequently, modelling, formalizing and implementing permissions, obligations and prohibitions do not cover the richness of all the possible scenarios. In fact, several applications have access rules with the recommendatio...

We have developed a novel hybrid representation for Music Information Retrieval. Our representation is built by incorporating audio content into the tag space in a tag-track matrix, and then learning hybrid concepts using latent semantic analysis. We apply this representation to the task of music recommendation, using similarity-based retrieval from a query music track. We also develop a new ap...

A combination of multiple information retrieval approaches is proposed for the purpose of book recommendation. In this paper, book recommendation is based on complex user's query. We used different theoretical retrieval models: probabilistic as InL2 (Divergence from Randomness model) and language model and tested their interpolated combination. Graph analysis algorithms such as PageRank have be...

The traditional user-based collaborative filtering (CF) algorithms often suffer from two important problems: Scalability and sparsity because of its memory-based k nearest neighbor query algorithm. Item-Based CF algorithms have been designed to deal with the scalability problems associated with user-based CF approaches without sacrificing recommendation or prediction accuracy. However, item-bas...

One important aspect of physical database design is the selection of a proper set of indexes for a workload. Creation of indexes in a database system is subject to storage constraints. It is also affected by the ratio of update operations in the workload. Therefore, the cost and benefit of each set of indexes should be evaluated by a proper optimization method. The large number of index sets th...

This paper provides an investigation of the potential application of fuzzy logic to semantic music recommendation. We show that a set of affective/emotive, structural and kinaesthetic descriptors can be used to formulate a query which allows the retrieval of intended music. A semantic music recommendation system was built, based on an elaborate study of potential users of music information retr...

In the similarity search problem, we are given a database D consisting of n items. Given a query q, the goal is to report all x ∈ D that are “near” the query point q. Such a problem is of fundamental importance to recommendation systems: Given an image, what images are similar; given a movie and a measure of similarity between movies, what are other movies to recommend to the user; given a prod...

In this paper web search queries are optimized using genetic algorithm based on clustered query sessions for effective Personalized Web Search. The purpose of web queries optimization is to bridge the vocabulary gap between web queries and documents relevant to the queries in order to retrieve relevant documents for effective information retrieval. These optimal set of queries are used for reco...

User engagement is a fundamental goal of commercial search engines. In order to increase it, they provide the users an opportunity to explore the entities related to the queries. As most of the queries can be linked to entities in knowledge bases, search engines recommend the entities that are related to the users’ search query. In this paper, we present Wikipedia-based Features for Entity Reco...