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Paul Haahr

Researcher at Google

Publications -  34
Citations -  1155

Paul Haahr is an academic researcher from Google. The author has contributed to research in topics: Web search query & Ranking (information retrieval). The author has an hindex of 14, co-authored 34 publications receiving 1155 citations.

Papers
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Patent

Information retrieval based on historical data

TL;DR: In this paper, a system (125) identifies a document and obtains one or more types of history data associated with the document, and generates a score for the document based on at least part of the history data.
Patent

System and method for providing search query refinements

TL;DR: In this paper, a system and method for providing search query refinements are presented, where a stored query and a stored document are associated as a logical pairing and a weight is assigned to the logical pairing.
Patent

Multi-stage query processing system and method for use with tokenspace repository

TL;DR: In this paper, a multi-stage query processing system and method enables multistage query scoring, including snippet generation, through incremental document reconstruction facilitated by a multilevel mapping scheme.
Patent

Document scoring based on query analysis

TL;DR: In this paper, a system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the degree to which the document was selected, and rank the document with regard to at least one other document based on the score.
Patent

Systems and methods for providing search query refinements

TL;DR: In this paper, a system and method for generating query refinement suggestions may include collecting refinement data for at least one received source query and then clustering the collected refinement data to form a cluster.