The result cache is a vital component for efficiency of large-scale web search engines, and maintaining the freshness of cached query results is the current research challenge. As a remedy to this problem, our work proposes a new mechanism to identify queries whose cached results are stale. The basic idea behind our mechanism is to maintain and compare generation time of query results with update times of posting lists and documents to decide on staleness of query results. The proposed technique is evaluated using a Wikipedia document collection with real update information and a real-life query log. We show that our technique has good prediction accuracy, relative to a baseline based on the time-to-live mechanism. Moreover, it is easy to i...
Query result caching is an important mechanism for search engine efficiency. In this study, we first...
We investigate the impact of query result prefetching on the efficiency and effectiveness of web sea...
Web search engines process several millions of queries per second over several billions of documents...
The result cache is a vital component for efficiency of large-scale web search engines, and maintain...
We propose a new mechanism to predict stale queries in the result cache of a search engine. The nove...
In web query result caching, staleness of queries are often bounded via a time-to-live (TTL) mechani...
An important research problem that has recently started to receive attention is the freshness issue ...
Ankara : The Department of Computer Engineering and the Graduate School of Engineering and Science o...
A Web search engine must update its index periodically to incorporate changes to the Web, and we arg...
Detecting stale queries in a search engine result cache is an important problem. In this work, we pr...
This article discusses efficiency and effectiveness issues in caching the results of queries submitt...
This article discusses efficiency and effectiveness issues in caching the results of queries submitt...
AbstractWe consider a paging problem in which each page is assigned an expiration time at the time i...
Cataloged from PDF version of article.Web search engines are known to cache the results of previousl...
Today, web performance is primarily governed by round-trip latencies between end device...
Query result caching is an important mechanism for search engine efficiency. In this study, we first...
We investigate the impact of query result prefetching on the efficiency and effectiveness of web sea...
Web search engines process several millions of queries per second over several billions of documents...
The result cache is a vital component for efficiency of large-scale web search engines, and maintain...
We propose a new mechanism to predict stale queries in the result cache of a search engine. The nove...
In web query result caching, staleness of queries are often bounded via a time-to-live (TTL) mechani...
An important research problem that has recently started to receive attention is the freshness issue ...
Ankara : The Department of Computer Engineering and the Graduate School of Engineering and Science o...
A Web search engine must update its index periodically to incorporate changes to the Web, and we arg...
Detecting stale queries in a search engine result cache is an important problem. In this work, we pr...
This article discusses efficiency and effectiveness issues in caching the results of queries submitt...
This article discusses efficiency and effectiveness issues in caching the results of queries submitt...
AbstractWe consider a paging problem in which each page is assigned an expiration time at the time i...
Cataloged from PDF version of article.Web search engines are known to cache the results of previousl...
Today, web performance is primarily governed by round-trip latencies between end device...
Query result caching is an important mechanism for search engine efficiency. In this study, we first...
We investigate the impact of query result prefetching on the efficiency and effectiveness of web sea...
Web search engines process several millions of queries per second over several billions of documents...