This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
An approximate search query on a collection of strings finds those strings in the collection that are similar to a given query string, where similarity is defined using a given si...
Search engine logs are an emerging new type of data that offers interesting opportunities for data mining. Existing work on mining such data has mostly attempted to discover knowl...
An unstructured peer network application was proposed to address the query forwarding problem of distributed search engines and scalability limitations of centralized search engin...
This paper proposes a strategy to reduce the amount of hardware involved in the solution of search engine queries. It proposes using a secondary compact cache that keeps minimal i...