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On relevance, time and query expansion

Published: 24 October 2011 Publication History

Abstract

We present the results of our exploratory analysis on the relationship that exists between relevance and time. We observe how the amount of documents published in a given interval of time is related to the probability of relevance, and, using the time series analysis, we show the existence of a correlation between time and relevance. As an initial application of this analysis, we study query expansion exploiting the detection of publication time peaks over the Blog06 collection. We finally propose an effective approach for the query expansion in the blog search domain. Our approach is based on the documents publication trend being so completely independent of any external resource.

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Cited By

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  • (2021)Improving question answering for event-focused questions in temporal collections of news articlesInformation Retrieval Journal10.1007/s10791-020-09387-9Online publication date: 2-Jan-2021
  • (2017)Microblog Retrieval Using Ensemble of Feature Sets through Supervised Feature SelectionIEICE Transactions on Information and Systems10.1587/transinf.2016DAP0032E100.D:4(793-806)Online publication date: 2017
  • (2017)Time sensitive blog retrieval using temporal properties of queriesJournal of Information Science10.1177/016555151561858943:1(103-121)Online publication date: 1-Feb-2017
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    cover image ACM Conferences
    CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management
    October 2011
    2712 pages
    ISBN:9781450307178
    DOI:10.1145/2063576
    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: 24 October 2011

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    Author Tags

    1. query expansion
    2. relevance distribution
    3. time series

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    View all
    • (2021)Improving question answering for event-focused questions in temporal collections of news articlesInformation Retrieval Journal10.1007/s10791-020-09387-9Online publication date: 2-Jan-2021
    • (2017)Microblog Retrieval Using Ensemble of Feature Sets through Supervised Feature SelectionIEICE Transactions on Information and Systems10.1587/transinf.2016DAP0032E100.D:4(793-806)Online publication date: 2017
    • (2017)Time sensitive blog retrieval using temporal properties of queriesJournal of Information Science10.1177/016555151561858943:1(103-121)Online publication date: 1-Feb-2017
    • (2015)Combining temporal and content aware features for microblog retrieval2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)10.1109/ICAICTA.2015.7335353(1-6)Online publication date: Aug-2015
    • (2014)Query Expansion with Temporal Segmented TextsProceedings of the 36th European Conference on IR Research on Advances in Information Retrieval - Volume 841610.5555/2964060.2964106(612-617)Online publication date: 13-Apr-2014
    • (2013)The Impacts of Structural Difference and Temporality of Tweets on Retrieval EffectivenessACM Transactions on Information Systems10.1145/250075131:4(1-38)Online publication date: 1-Nov-2013
    • (2013)Using temporal bursts for query modelingInformation Retrieval10.1007/s10791-013-9227-217:1(74-108)Online publication date: 27-Jul-2013
    • (2013)Exploiting user comments for audio-visual content indexing and retrievalProceedings of the 35th European conference on Advances in Information Retrieval10.1007/978-3-642-36973-5_4(38-49)Online publication date: 24-Mar-2013
    • (2013)Cognitive temporal document priorsProceedings of the 35th European conference on Advances in Information Retrieval10.1007/978-3-642-36973-5_27(318-330)Online publication date: 24-Mar-2013

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