NDLI: Batch query processing for web search engines

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Batch query processing for web search engines

Content Provider	ACM Digital Library
Author	Ding, Shuai Attenberg, Josh Suel, Torsten Baeza-Yates, Ricardo
Abstract	Large web search engines are now processing billions of queries per day. Most of these queries are interactive in nature, requiring a response in fractions of a second. However, there are also a number of important scenarios where large batches of queries are submitted for various web mining and system optimization tasks that do not require an immediate response. Given the significant cost of executing search queries over billions of web pages, it is a natural question to ask if such batches of queries can be more efficiently executed than interactive queries. In this paper, we motivate and discuss the problem of batch query processing in search engines, identify basic mechanisms for improving the performance of such queries, and provide a preliminary experimental evaluation of the proposed techniques. Our conclusion is that significant cost reductions are possible by using specialized mechanisms for executing batch queries in Web search engines.
Starting Page	137
Ending Page	146
Page Count	10
File Format	PDF MP4
ISBN	9781450304931
DOI	10.1145/1935826.1935858
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-02-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Batch query processing Query processing Result cache updates Web search
Content Type	Audio Text
Resource Type	Article

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