An essential requirement of current web applications is to provide users with instruments for personalized selective retrieval of web information. A way to achieve this objective is the application of data mining techniques. The process of applying data mining techniques on web data is known as web mining.
In the e-commerce environment, this is a way of increasing customer satisfaction and taking positions in the competitive market of the electronic business activities. E-commerce applications that incorporate recommender systems provide users with intelligent mechanisms to search products to purchase.
"Web Mining and Recommender Systems 2012" aims at providing a forum for the presentation and discussion of the advances achieved in the web mining field.
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Development of machine learning methodologies applicable in different areas of interest by means of the proposal of efficient algorithms for generating multi-classifiers that allow improving the precision of the predictions and avoiding problems that arise in the application of the methods in real problems
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