The world wide web has a wealth of information that is related to almost any text classification task. This paper presents a method for mining the web to improve text classificati...
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Web sites today serve many different functions, such as corporate sites, search engines, e-stores, and so forth. As sites are created for different purposes, their structure and...
Einat Amitay, David Carmel, Adam Darlow, Ronny Lem...
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
ontainer. In particular, an iterator abstracts away differences in specific container types, allowing you to view the collection simply as a sequence of items. A generic algorith...