Patent ID: 7644074
Filing Date: 2010-01-05
Classification: G06F,Y10S

Abstract:
1. A method of searching by document type comprising: receiving a search query having a topic type of the search query, the topic type comprising a type of topic to which the search query is directed; ranking first matching documents according to relevance to the search query to form a ranked relevance list, wherein the ranking is performed by applying the search query to a relevancy model that was trained with training data comprising training data elements, a training data element comprising a previously-made query, a document satisfying the previously-made query, and corresponding information indicating relevancy of the document to the previously-made query, where the relevancy model is a statistical model that ranks the first matching documents; for the same search query, ranking second matching documents according to topic type to form a ranked type list in which the second matching documents are ranked according to respective probabilities that their respective topic types match the topic type of the search query, and wherein the ranking is performed using a typing model that was trained with training data comprising training data elements, a training data element comprising a document and corresponding typing information indicating a topic type of the document, where the typing model is a statistical model that ranks the second matching documents according to the probabilities of their topic types matching the search query's topic type; and using linear interpolation to interpolate the ranked relevance list and the ranked type list to form a list of documents from the relevance list and the ranked type list type, the list of documents being ranked based on both relevance and type, the list of documents including documents from the first matching documents and documents from the second matching documents.