The cluster hypothesis for entity oriented search

Hadas Raviv; Oren Kurland; David Carmel

doi:10.1145/2484028.2484128

The cluster hypothesis for entity oriented search

Hadas Raviv, Oren Kurland, David Carmel

Data and Decision Sciences

Technion - Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work we study the cluster hypothesis for entity oriented search (EOS). Specifically, we show that the hypothesis can hold to a substantial extent for several entity similarity measures. We also demonstrate the retrieval effectiveness merits of using clusters of similar entities for EOS.

Original language	English
Title of host publication	SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages	841-844
Number of pages	4
DOIs	https://doi.org/10.1145/2484028.2484128
State	Published - 2013
Event	36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013 - Dublin, Ireland Duration: 28 Jul 2013 → 1 Aug 2013

Publication series

Name	SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference	36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013
Country/Territory	Ireland
City	Dublin
Period	28/07/13 → 1/08/13

Keywords

Cluster hypothesis
Entity oriented search

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Information Systems

Access to Document

10.1145/2484028.2484128

Cite this

Raviv, H., Kurland, O., & Carmel, D. (2013). The cluster hypothesis for entity oriented search. In SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 841-844). (SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval). https://doi.org/10.1145/2484028.2484128

Raviv, Hadas ; Kurland, Oren ; Carmel, David. / The cluster hypothesis for entity oriented search. SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2013. pp. 841-844 (SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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abstract = "In this work we study the cluster hypothesis for entity oriented search (EOS). Specifically, we show that the hypothesis can hold to a substantial extent for several entity similarity measures. We also demonstrate the retrieval effectiveness merits of using clusters of similar entities for EOS.",

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author = "Hadas Raviv and Oren Kurland and David Carmel",

year = "2013",

doi = "10.1145/2484028.2484128",

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isbn = "9781450320344",

series = "SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval",

pages = "841--844",

booktitle = "SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval",

note = "36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013 ; Conference date: 28-07-2013 Through 01-08-2013",

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Raviv, H, Kurland, O & Carmel, D 2013, The cluster hypothesis for entity oriented search. in SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 841-844, 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013, Dublin, Ireland, 28/07/13. https://doi.org/10.1145/2484028.2484128

The cluster hypothesis for entity oriented search. / Raviv, Hadas; Kurland, Oren; Carmel, David.
SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2013. p. 841-844 (SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kurland, Oren

AU - Carmel, David

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AB - In this work we study the cluster hypothesis for entity oriented search (EOS). Specifically, we show that the hypothesis can hold to a substantial extent for several entity similarity measures. We also demonstrate the retrieval effectiveness merits of using clusters of similar entities for EOS.

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T3 - SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval

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BT - SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval

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Raviv H, Kurland O, Carmel D. The cluster hypothesis for entity oriented search. In SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2013. p. 841-844. (SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval). doi: 10.1145/2484028.2484128

The cluster hypothesis for entity oriented search

Abstract

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Conference

Keywords

All Science Journal Classification (ASJC) codes

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