Methods, systems, and computer program products for integrated world wide web query classification

Abstract

Implementing query classification includes executing a reductionist module on a query to extract a core term, which term is used to search a hash table that maps core terms to corresponding categories, deriving a first result including one of the categories from the search, and executing an enrichment module on the query to yield a second result. The enrichment module includes searching an index of terms that are mapped to documents and corresponding categories. Upon determining the core term is present in the hash table, a weighted average is calculated for values of the first and second results based on training data. Upon determining the core term from the query is not in the hash table, and also that a probability score of the category in the index for the second result meets a minimum confidence value, the core term and the corresponding categories are stored in the hash table.