We seek to gain improved insight into how Web search engines should cope with the evolving Web, in an attempt to provide users with the most up-to-date results possible. For this ...
Alexandros Ntoulas, Junghoo Cho, Christopher Olsto...
Depending on a web searcher’s familiarity with a query’s target topic, it may be more appropriate to show her introductory or advanced documents. The TREC HARD [1] track defi...
We consider the problem of improving the performance of web access by proposing a reconstruction of the internal link structure of a web site in order to match the quality of the ...
John D. Garofalakis, Panagiotis Kappos, Christos M...
Traditional research on spelling correction in natural language processing and information retrieval literature mostly relies on pre-defined lexicons to detect spelling errors. Bu...
In this paper, we present a method that automatically constructs a Named Entity (NE) tagged corpus from the web to be used for learning of Named Entity Recognition systems. We use...