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Iterative-convergence algorithms are frequently used in a variety of domains to build models from large data sets. Cluster implementations of these algorithms are commonly realized using parallel programming models such as MapReduce. However, these implementations suffer from significant performance bottlenecks, especially due to large volumes of network traffic resulting from intermediate data and...
In this work, we use folksonomies for building user preference list (UPL) based on user's search history. A UPL is an indispensable source of knowledge which can be exploited by intelligent systems for query recommendation, personalized search, and web search result ranking etc. A UPL consist of list of concepts, and their weights, clustered together using agglomerative clustering by employing Google...
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.