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Cache-Based Query Processing for Search Engines
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Date
2012-11-01
Author
Cambazoglu, B. Barla
Altıngövde, İsmail Sengör
Ozcan, Rifat
Ulusoy, Ozgur
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In practice, a search engine may fail to serve a query due to various reasons such as hardware/network failures, excessive query load, lack of matching documents, or service contract limitations (e.g., the query rate limits for third-party users of a search service). In this kind of scenarios, where the backend search system is unable to generate answers to queries, approximate answers can be generated by exploiting the previously computed query results available in the result cache of the search engine. In this work, we propose two alternative strategies to implement this cache-based query processing idea. The first strategy aggregates the results of similar queries that are previously cached in order to create synthetic results for new queries. The second strategy forms an inverted index over the textual information (i.e., query terms and result snippets) present in the result cache and uses this index to answer new queries. Both approaches achieve reasonable result qualities compared to processing queries with an inverted index built on the collection.
Subject Keywords
Computer Networks and Communications
URI
https://hdl.handle.net/11511/49176
Journal
ACM TRANSACTIONS ON THE WEB
DOI
https://doi.org/10.1145/2382616.2382617
Collections
Department of Computer Engineering, Article
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B. B. Cambazoglu, İ. S. Altıngövde, R. Ozcan, and O. Ulusoy, “Cache-Based Query Processing for Search Engines,”
ACM TRANSACTIONS ON THE WEB
, pp. 0–0, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49176.