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On the value of temporal information in information retrieval

Authors:

Omar Alonso,

Michael Gertz,

Ricardo Baeza-YatesAuthors Info & Claims

ACM SIGIR Forum, Volume 41, Issue 2

Pages 35 - 41

https://doi.org/10.1145/1328964.1328968

Published: 01 December 2007 Publication History

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Abstract

Time is an important dimension of any information space and can be very useful in information retrieval. Current information retrieval systems and applications do not take advantage of all the time information available in the content of documents to provide better search results and user experience. In this paper we show some of the areas that can benefit from exploiting such temporal information.

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Raza AUr Rehman Khan SSher Afgun Usmani RKumar Das AAshraf Chaudhry S(2024)A Novel Temporal Footprints-Based Framework for Fake News DetectionIEEE Access10.1109/ACCESS.2024.349055812(172419-172428)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3490558
Wang JJatowt AYoshikawa MCai YChen HDuh WHuang HKato MMothe JPoblete B(2023)BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal InformationProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591686(812-821)Online publication date: 19-Jul-2023
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Jatowt ASato MDraxl SDuan YCampos RYoshikawa M(2023)Is this news article still relevant? Ranking by contemporary relevance in archival searchInternational Journal on Digital Libraries10.1007/s00799-023-00377-y25:2(197-216)Online publication date: 28-Jul-2023
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On the value of temporal information in information retrieval

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ACM SIGIR Forum Volume 41, Issue 2

December 2007

120 pages

ISSN:0163-5840

DOI:10.1145/1328964

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 2007

Published in SIGIR Volume 41, Issue 2

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Raza AUr Rehman Khan SSher Afgun Usmani RKumar Das AAshraf Chaudhry S(2024)A Novel Temporal Footprints-Based Framework for Fake News DetectionIEEE Access10.1109/ACCESS.2024.349055812(172419-172428)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3490558
Wang JJatowt AYoshikawa MCai YChen HDuh WHuang HKato MMothe JPoblete B(2023)BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal InformationProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591686(812-821)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591686
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