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Understanding temporal query dynamics

Published: 09 February 2011 Publication History

Abstract

Web search is strongly influenced by time. The queries people issue change over time, with some queries occasionally spiking in popularity (e.g., earthquake) and others remaining relatively constant (e.g., youtube). The documents indexed by the search engine also change, with some documents always being about a particular query (e.g., the Wikipedia page on earthquakes is about the query earthquake) and others being about the query only at a particular point in time (e.g., the New York Times is only about earthquakes following a major seismic activity). The relationship between documents and queries can also change as people's intent changes (e.g., people sought different content for the query earthquake before the Haitian earthquake than they did after). In this paper, we explore how queries, their associated documents, and the query intent change over the course of 10 weeks by analyzing query log data, a daily Web crawl, and periodic human relevance judgments. We identify several interesting features by which changes to query popularity can be classified, and show that presence of these features, when accompanied by changes in result content, can be a good indicator of change in query intent.

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Cited By

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  • (2024)Evaluation of Temporal Change in IR Test CollectionsProceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3664190.3672530(3-13)Online publication date: 2-Aug-2024
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  • (2022)Ranking Models for the Temporal Dimension of TextACM Transactions on Information Systems10.1145/356548141:2(1-34)Online publication date: 21-Dec-2022
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cover image ACM Conferences
WSDM '11: Proceedings of the fourth ACM international conference on Web search and data mining
February 2011
870 pages
ISBN:9781450304931
DOI:10.1145/1935826
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 09 February 2011

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WSDM '11 Paper Acceptance Rate 83 of 372 submissions, 22%;
Overall Acceptance Rate 498 of 2,863 submissions, 17%

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Cited By

View all
  • (2024)Evaluation of Temporal Change in IR Test CollectionsProceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3664190.3672530(3-13)Online publication date: 2-Aug-2024
  • (2023)Improving Product Search with Season-Aware Query-Product Semantic SimilarityCompanion Proceedings of the ACM Web Conference 202310.1145/3543873.3587625(864-868)Online publication date: 30-Apr-2023
  • (2022)Ranking Models for the Temporal Dimension of TextACM Transactions on Information Systems10.1145/356548141:2(1-34)Online publication date: 21-Dec-2022
  • (2022)Federated Search Using Query Log EvidenceProgress in Artificial Intelligence10.1007/978-3-031-16474-3_64(794-805)Online publication date: 13-Sep-2022
  • (2021)Online Search Behavior Related to COVID-19 Vaccines: Infodemiology StudyJMIR Infodemiology10.2196/321271:1(e32127)Online publication date: 12-Nov-2021
  • (2021)Seasonal Relevance in E-Commerce SearchProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3481951(4293-4301)Online publication date: 26-Oct-2021
  • (2021)Exploiting temporal changes in query submission behavior for improving the search engine result cache performanceInformation Processing and Management: an International Journal10.1016/j.ipm.2021.10253358:3Online publication date: 1-May-2021
  • (2020)Future Directions of Query UnderstandingQuery Understanding for Search Engines10.1007/978-3-030-58334-7_9(205-224)Online publication date: 2-Dec-2020
  • (2019)When People Change their MindProceedings of the Twelfth ACM International Conference on Web Search and Data Mining10.1145/3289600.3290958(447-455)Online publication date: 30-Jan-2019
  • (2018)Cross-lingual analysis of English and Chinese web searchInternational Journal of Web and Grid Services10.5555/3292946.329294914:4(376-399)Online publication date: 1-Jan-2018
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