[PDF] Top 20 Multi-objective pareto-efficient algorithms for recommender systems

... Recommender systems are quickly becoming ubiquitous in applications such as e- commerce, social media channels and content providers, acting as enabling mechanisms designed to overcome the information ... See full document

... These algorithms have major shortcomings such as they search only for the shortest route and they exhibit high computational complexity for real-time ...Evolutionary algorithms such as Genetic Algorithm ... See full document

... for Multi-Objective Kriging Optimization), is written in R language and presents three multi-objective optimization algorithms: (i) MEGO, in which the efficient global ... See full document

... theoretical Pareto set, 2) Diversity of the solutions or 3) number of Pareto-optimal ...is efficient to obtain informations about closeness of the output of some algo- rithm with the True ... See full document

... On the other hand while we use these methods we must specify minimum support and minimum confidence. This issue makes these methods dependent on datasets and they must execute several times. We do not require specifying ... See full document

... Nurse rerostering arises when at least one nurse announces that she will be unable to undertake the tasks previously assigned to her. The problem amounts to building a new roster that satisfies the hard constraints ... See full document

... Software testing is useful in detecting faults, and could also be able to locate them using automatic fault detection techniques, such as spectrum based fault localization. The diagnosability is dependent on the test ... See full document

... of multi-authority cloud storage systems, CP-ABE is applied in such ...storage systems in ...the efficient data access control schemes in multi authority cloud storage systems on ... See full document

... two algorithms, which have been proved to be very efficient in the ...three algorithms, comparing the time span of the schedules produced as well as the running times to produce those ... See full document

... combinatorial multi-objective optimization problems, especially if two conflicting objectives are considered ...SPEA2 algorithms provide the best ... See full document

... Some systems rely on structured solutions, such as aggregation of peers [14] in communities [2] or the use of middle layers that have specific coordination capabilities ...Structured systems contribute to ... See full document

... the Pareto- set surface being of dimension less than m 1 (one or more objectives being redundant), the algorithm still works as expected, forming an archive set of Pareto estimates which will still have q ... See full document

... interaction. Algorithms that would work on grid have to be more predictive than detective due to the ...These algorithms have also to provide a dynamic resources management because of their volatility ... See full document

... a multi-objective genetic algorithm (MOGA) to find a set of optimal pareto solution for Supply chain network (SCN) ...heuristic algorithms for considering concept of safety stock in supply ... See full document

... Now, let us assume a cold user u looking for help to hnd movies he would like to watch. A common situation is when the cold user has yet given no rating; he is admitted into the system in exchange of his social ... See full document

... Item-based algorithms are two steps algorithms; in the first step, the algorithms scan the past informations of the users; the ratings they gave to items are collected during this ...the ... See full document

... RA algorithms, simulations need to be performed on a certain (usually high) number of memory maps with fault distributions resembling distributions seen in real faulty memories as much as ... See full document

... in systems science can also be extended to network analysis in which the model output means network output, network stability, network flow, network structure, or other indices, and model input means network ... See full document

... A distributed system is a collection of computers that are spatially separated and do not share a common memory. The processes executing on these computers communicate with one another by exchanging messages over ... See full document

... This dissertation starts by presenting an overview of how Cognitive Radio networks work and how the spectrum utilization may be improved. The work is then oriented to understanding the statistics involved in the time ... See full document