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Answering general time sensitive queries

Published: 26 October 2008 Publication History

Abstract

Time is an important dimension of relevance for a large number of searches, such as over blogs and news archives. So far, research on searching over such collections has largely focused on locating topically similar documents for a query. Unfortunately, topic similarity alone is not always sufficient for document ranking. In this paper, we observe that, for an important class of queries that we call time-sensitive queries, the publication time of the documents in a news archive is important and should be considered in conjunction with the topic similarity to derive the final document ranking. Earlier work has focused on improving retrieval for "recency" queries that target recent documents. We propose a more general framework for handling time-sensitive queries and we automatically identify the important time intervals that are likely to be of interest for a query. Then, we build scoring techniques that seamlessly integrate the temporal aspect into the overall ranking mechanism. We extensively evaluated our techniques using a variety of news article data sets, including TREC data as well as real web data analyzed using the Amazon Mechanical Turk. We examined several alternatives for detecting the important time intervals for a query over a news archive and for incorporating this information in the retrieval process. Our techniques are robust and significantly improve result quality for time-sensitive queries compared to state-of-the-art retrieval techniques.

References

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    cover image ACM Conferences
    CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management
    October 2008
    1562 pages
    ISBN:9781595939913
    DOI:10.1145/1458082
    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: 26 October 2008

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    1. time-sensitive search

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    CIKM08: Conference on Information and Knowledge Management
    October 26 - 30, 2008
    California, Napa Valley, USA

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    • (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
    • (2017)Query Expansion Based on a Feedback Concept Model for Microblog RetrievalProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052710(559-568)Online publication date: 3-Apr-2017
    • (2017)Promoting Relevant Results in Time-Ranked Mail SearchProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052659(1551-1559)Online publication date: 3-Apr-2017
    • (2017)Investigating Users' Time Perception during Web SearchProceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval10.1145/3020165.3020184(127-136)Online publication date: 7-Mar-2017
    • (2017)Does Document Relevance Affect the Searcher's Perception of Time?Proceedings of the Tenth ACM International Conference on Web Search and Data Mining10.1145/3018661.3018694(141-150)Online publication date: 2-Feb-2017
    • (2017)Detecting temporal patterns of user queriesJournal of the Association for Information Science and Technology10.1002/asi.2357868:1(113-128)Online publication date: 1-Jan-2017
    • (2014)Popularity-based temporal relevance estimation for micro-blogging retrievalProceedings of the 2014 ACM Southeast Conference10.1145/2638404.2675721(1-6)Online publication date: 28-Mar-2014
    • (2013)Proximity2-aware ranking for textual, temporal, and geographic queriesProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505640(739-744)Online publication date: 27-Oct-2013
    • (2013)Behavioral dynamics on the webACM Transactions on Information Systems10.1145/2493175.249318131:3(1-37)Online publication date: 5-Aug-2013
    • (2013)Fast candidate generation for real-time tweet search with bloom filter chainsACM Transactions on Information Systems10.1145/2493175.249317831:3(1-36)Online publication date: 5-Aug-2013
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