Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
A number of experiments conducted within the framework of the TREC-5 conference and using the Parallel Document Retrieval Engine (PADRE) are reported. Several of the experiments i...
In this poster, we present a method for extracting queries related to real-life events, or news-related queries, from large web query logs. The method employs query frequencies an...
Michael Maslov, Alexander Golovko, Ilya Segalovich...
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
We investigate the automatic generation of topic pages as an alternative to the current Web search paradigm. We describe a general framework, which combines query log analysis to ...