Traditional research on spelling correction in natural language processing and information retrieval literature mostly relies on pre-defined lexicons to detect spelling errors. Bu...
Searchers' difficulty in formulating effective queries for their information needs is well known. Analysis of search session logs shows that users often pose short, vague quer...
Eric C. Jensen, Steven M. Beitzel, Abdur Chowdhury...
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...
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...