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Estimation methods for ranking recent information

Published: 24 July 2011 Publication History

Abstract

Temporal aspects of documents can impact relevance for certain kinds of queries. In this paper, we build on earlier work of modeling temporal information. We propose an extension to the Query Likelihood Model that incorporates query-specific information to estimate rate parameters, and we introduce a temporal factor into language model smoothing and query expansion using pseudo-relevance feedback. We evaluate these extensions using a Twitter corpus and two newspaper article collections. Results suggest that, compared to prior approaches, our models are more effective at capturing the temporal variability of relevance associated with some topics.

References

[1]
Adar, E. Teevan, J., Dumais, S.T., and Elsas, J.L., 2009. The web changes everything: understanding the dynamics of web content. Proceedings of the Second ACM International Conference on Web Search and Data Mining (New York, NY, USA, 2009), 282--291.
[2]
Bernstein, M. Suh, B., Hong, L., Chen. J., Kairam, S., and Chi, E. 2010. Eddi: Interactive Topic-Based Browsing of Social Status Streams. UIST 2010: ACM Symposium on User Interface Software and Technology. (forthcoming) (2010).
[3]
Bolstad, W.M. Introduction to Bayesian Statistics. Wiley-Interscience.
[4]
Dai, N. and Davison, B.D. 2010. Freshness matters. Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10 (Geneva, Switzerland, 2010), 114.
[5]
Dakka, W., Gravano, L., Ipeirotis, P., Answering General Time-Sensitive Queries, IEEE Transactions on Knowledge and Data Engineering, vol. 99, no. PrePrints, 2010.
[6]
Dong, A. Zhang, R., Kolari, P., Bai, J., Diaz, F., Chang, Y., Zheng, Z., and Zha, H. 2010. Time is of the essence: improving recency ranking using Twitter data. Proceedings of the 19th international conference on World wide web (New York, NY, USA, 2010), 331--340.
[7]
Efron, M. 2010. Hashtag retrieval in a microblogging environment. Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval (Geneva, Switzerland, 2010), 787--788.
[8]
Efron, M. and Winget, M. 2010. Questions are content: A Taxonomy of Questions in a Microblogging Environment. Proceedings of the 2010 Annual Meeting of the American Society for Information Science and Technology. (2010).
[9]
Evans, B.M. and Chi, E.H. 2008. Towards a model of understanding social search. Proceedings of the 2008 ACM conference on Computer supported cooperative work (San Diego, CA, USA, 2008), 485--494.
[10]
Golovchinsky, G. and Efron, M. 2010. Making sense of Twitter search. Proc. CHI2010 Workshop on Microblogging: What and How Can We Learn From It? April 11, 2010. (2010).
[11]
Horowitz, D. and Kamvar, S.D. 2010. The anatomy of a large-scale social search engine. Proceedings of the 19th international conference on World wide web (Raleigh, North Carolina, USA, 2010), 431--440.
[12]
Jones, R. and Diaz, F. 2007. Temporal profiles of queries. ACM Transactions on Information Systems. 25, 3 (2007), 14-es.
[13]
King, I., and Li, J. 2009. Proceeding of the 2nd ACM workshop on Social web search and mining. (Hong Kong, China, 2009), 70.
[14]
Lavrenko, V. and Croft, W.B. 2001. Relevance based language models. Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2001), 120--127.
[15]
Li, X. and Croft, W.B. 2003. Time-based language models. Proceedings of the twelfth international conference on Information and knowledge management - CIKM '03 (New Orleans, LA, USA, 2003), 469.
[16]
Morris, M.R., Teevan, J., and Panovich, Katrina. 2010. What do people ask their social networks, and why?: a survey study of status message q &a behavior. Proceedings of the 28th international conference on Human factors in computing systems (Atlanta, Georgia, USA, 2010), 1739--1748.
[17]
Pickens, J. and Golovchinsky, G. 2008. Ranked feature fusion models for ad hoc retrieval. Proceeding of the 17th ACM conference on Information and knowledge management (New York, NY, USA, 2008), 893--900.
[18]
Ponte, J.M. and Croft, W.B. 1998. A language modeling approach to information retrieval. SIGIR 1998: Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. (1998), 275--281.
[19]
Robertson, S.E. Walker, S., Jones, S., Hancock-Beaulieu, M.M., and Gatford, M. 1994. Okapi at TREC-3. In Proceedings of the Third Text REtrieval Conference (TREC 1994) (1994).
[20]
Teevan, J., Dumais, S.T., and Liebling, D.J. 2010. A longitudinal study of how highlighting web content change affects people's web interactions. Proceedings of the 28th international conference on Human factors in computing systems - CHI '10 (Atlanta, Georgia, USA, 2010), 1353.
[21]
Twitter. http://twitter.com. Accessed: 12-02--2010.
[22]
Voorhees, E.M. 2007. TREC: Continuing information retrieval's tradition of experimentation. Commun. ACM. 50, (Nov. 2007), 51--54.
[23]
Yang, J. and Leskovec, J. 2011. Temporal variation in online media. ACM Internation Conference on Web Search and Data Mining (WSDM '11) (2011).
[24]
Zhai, C. and Lafferty, J. 2001. Model-based feedback in the language modeling approach to information retrieval. CIKM 2001: Proceedings of the tenth international conference on Information and knowledge management. (2001), 403--410.
[25]
Zhai, C. and Lafferty, J. 2004. A Study of Smoothing Methods for Language Models Applied to Information Retrieval. ACM Transactions on Information Systems. 2, 2 (2004), 179--214.
[26]
Zhai, C. 2008. Statistical Language Models for Information Retrieval A Critical Review. Found. Trends Inf. Retr. 2, (Mar. 2008), 137--213.

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    cover image ACM Conferences
    SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
    July 2011
    1374 pages
    ISBN:9781450307574
    DOI:10.1145/2009916
    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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    Published: 24 July 2011

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    Author Tags

    1. information retrieval
    2. microblogs
    3. ranking algorithms
    4. time

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    • (2023)Survey-credible conversation and sentiment analysisSocial Network Analysis and Mining10.1007/s13278-023-01176-814:1Online publication date: 17-Dec-2023
    • (2021)Event Detection in Wikipedia Edit History Improved by Documents Web Based Automatic AssessmentBig Data and Cognitive Computing10.3390/bdcc50300345:3(34)Online publication date: 4-Aug-2021
    • (2021)Preserve Integrity in Realtime Event SummarizationACM Transactions on Knowledge Discovery from Data10.1145/344234415:3(1-29)Online publication date: 3-May-2021
    • (2021)Query Expansion With Local Conceptual Word Embeddings in Microblog RetrievalIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.294576433:4(1737-1749)Online publication date: 1-Apr-2021
    • (2021)Time segment language model for microblog retrievalNeural Computing and Applications10.1007/s00521-020-05534-xOnline publication date: 3-Jan-2021
    • (2020)Top-k term publish/subscribe for geo-textual data streamsThe VLDB Journal10.1007/s00778-020-00607-829:5(1101-1128)Online publication date: 9-Mar-2020
    • (2019)A Study on Effective Measurement of Search Results from Search EnginesJournal of Global Information Management10.4018/JGIM.201901011027:1(196-221)Online publication date: 1-Jan-2019
    • (2019)Cluster-Based Subscription Matching for Geo-Textual Data Streams2019 IEEE 35th International Conference on Data Engineering (ICDE)10.1109/ICDE.2019.00084(890-901)Online publication date: Apr-2019
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