ACM Transactions on Information Systems (TOIS)
The impact of caching on search engines
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Examining repetition in user search behavior
ECIR'07 Proceedings of the 29th European conference on IR research
Admission policies for caches of search engine results
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
On caching search engine query results
Computer Communications
Utilization of navigational queries for result presentation and caching in search engines
Proceedings of the 17th ACM conference on Information and knowledge management
A Cost-Aware Strategy for Query Result Caching in Web Search Engines
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
A refreshing perspective of search engine caching
Proceedings of the 19th international conference on World wide web
Cost-Aware Strategies for Query Result Caching in Web Search Engines
ACM Transactions on the Web (TWEB)
Effective caching of shortest paths for location-based services
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
A five-level static cache architecture for web search engines
Information Processing and Management: an International Journal
Cache-Based Query Processing for Search Engines
ACM Transactions on the Web (TWEB)
The impact of solid state drive on search engine cache management
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Latency-aware strategy for static list caching in flash-based web search engines
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Exploring optimization and caching for efficient collection operations
Automated Software Engineering
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Query result caching is an important mechanism for search engine efficiency. In this study, we first review several query features that are used to determine the contents of a static result cache. Next, we introduce a new feature that more accurately represents the popularity of a query by measuring the stability of query frequency over a set of time intervals. Experimental results show that this new feature achieves hit ratios better than those of the previously proposed features.