ACM SIGIR Forum
Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Using temporal profiles of queries for precision prediction
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
Time-dependent semantic similarity measure of queries using historical click-through data
Proceedings of the 15th international conference on World Wide Web
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Towards recency ranking in web search
Proceedings of the third ACM international conference on Web search and data mining
On relevance, time and query expansion
Proceedings of the 20th ACM international conference on Information and knowledge management
Hybrid models for future event prediction
Proceedings of the 20th ACM international conference on Information and knowledge management
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Information needs expressed by using the same query for a search engine might be totally different, whether on week days or weekends, or during the day or at night. For queries having no temporal changes in search intentions, the same search results ranking may be returned regardless of the time, but for those with temporal changes the ranking must be suitably altered depending on the time of input. To achieve time-dependent search results rankings, we focus on the temporal changes in the search intentions. We present the results obtained by analyzing a commercial search engine log and propose a method of detecting queries showing periodic changes in the search intentions.