The impor tance of good weighting methods in information retrieval methods tha t stress the most useful features of a document or query representat ive is examined. Evidence is presented tha t good weighting methods are more impor tan t than the feature selection process and it is suggested tha t the two need to go handin-hand in order to be effective. The paper concludes with a me thod for lea...

Many term weighting methods are suggested in the literature for Information Retrieval and Text Categorization. Term weighting method, a part of feature selection process is not yet explored for URL classification problem. We classify a web page using its URL alone without fetching its content and hence URL based classification is faster than other methods. In this study, we investigate the use ...

Optimizing weighting factors for a linear combination of terms in a scoring function is a crucial step for success in developing a threading algorithm. Usually weighting factors are optimized to yield the highest success rate on a training dataset, and the determined constant values for the weighting factors are used for any target sequence. Here we explore completely different approaches to ha...