Download Applied Soft Computing Technologies: The Challenge of by Ajith Abraham PDF

By Ajith Abraham

This quantity provides the lawsuits of the ninth on-line global convention on smooth Computing in commercial purposes (WSC9), September twentieth - October 08th, 2004, hung on the area broad internet. It comprises plenary lectures, unique papers and tutorials offered through the convention. The ebook brings jointly amazing study and advancements within the box of sentimental computing (evolutionary computation, fuzzy common sense, neural networks, and their fusion) and its purposes in technology and expertise.

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Read or Download Applied Soft Computing Technologies: The Challenge of Complexity (Advances in Intelligent and Soft Computing) PDF

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Sample text

Nearest-neighbor CF is based either on common user or item similarities, to form the user’s neighborhood. The effectiveness of the aforementioned approaches would be augmented, if we could combine them. In this paper, we use biclustering to disclose this duality between users and items, by grouping them in both dimensions simultaneously. We propose a novel nearest-biclusters algorithm, which uses a new similarity measure that achieves partial matching of users’ preferences. We apply nearest-biclusters in combination with a biclustering algorithm – Bimax – for constant values.

28 K. Beemanapalli, R. Rangarajan, and J. 1 Test Data We have run our experiments on the CS website which is the Computer Science Department website of the University of Minnesota. edu [17]. The usage data has been collected over a period of 2 weeks in Apr 2006. The data set has been reduced to about 100,000 user sessions by refining and filtering the data. Noise data such as one page sessions, broken sessions etc have been removed to reduce the negative impact on the algorithm. We have implemented a web crawler to spider the website and collect the link information.

A part of the session data was used to train the model and then the model was tested on the remaining sessions. The next page that will be accessed was predicted for the test sessions and if the predicted page was actually accessed later on it the session, it was considered a hit. The definitions of the various measures used to measure the effectiveness of these models as taken from [3] are restated below: • Hit Ratio (HR): Percentage of hits. If a recommended page is actually requested later in the session, we declare a hit.

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