A temporally adaptive content-based relevance ranking algorithm

Jukka Perkiö; Wray Buntine; Henry Tirri

doi:10.1145/1076034.1076171

A temporally adaptive content-based relevance ranking algorithm

Jukka Perkiö, Wray Buntine, Henry Tirri

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

11 Citations (Scopus)

Abstract

In information retrieval relevance ranking of the results is one of the most important single tasks there are. There are many diffierent ranking algorithms based on the content of the documents or on some external properties e.g. link structure of html documents.We present a temporally adaptive content-based relevance ranking algorithm that explicitly takes into account the temporal behavior of the underlying statistical properties of the documents in the form of a statistical topic model. more we state that our algorithm can be used on top of any ranking algorithm.

Original language	English
Title of host publication	SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher	Association for Computing Machinery (ACM)
Pages	647-648
Number of pages	2
ISBN (Print)	1595930345, 9781595930347
DOIs	https://doi.org/10.1145/1076034.1076171
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	ACM International Conference on Research and Development in Information Retrieval 2005 - Salvador, Brazil Duration: 15 Aug 2005 → 19 Aug 2005 Conference number: 28th https://dl.acm.org/doi/proceedings/10.1145/1076034

Publication series

Name	SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference	ACM International Conference on Research and Development in Information Retrieval 2005
Abbreviated title	SIGIR 2005
Country/Territory	Brazil
City	Salvador
Period	15/08/05 → 19/08/05
Internet address	https://dl.acm.org/doi/proceedings/10.1145/1076034

Keywords

MPCA
relvance ranking
temporal adaptation
tf-idf
topic model

Access to Document

10.1145/1076034.1076171

Cite this

Perkiö, J., Buntine, W., & Tirri, H. (2005). A temporally adaptive content-based relevance ranking algorithm. In SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 647-648). (SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery (ACM). https://doi.org/10.1145/1076034.1076171

Perkiö, Jukka ; Buntine, Wray ; Tirri, Henry. / A temporally adaptive content-based relevance ranking algorithm. SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), 2005. pp. 647-648 (SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval).

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title = "A temporally adaptive content-based relevance ranking algorithm",

abstract = "In information retrieval relevance ranking of the results is one of the most important single tasks there are. There are many diffierent ranking algorithms based on the content of the documents or on some external properties e.g. link structure of html documents.We present a temporally adaptive content-based relevance ranking algorithm that explicitly takes into account the temporal behavior of the underlying statistical properties of the documents in the form of a statistical topic model. more we state that our algorithm can be used on top of any ranking algorithm.",

keywords = "MPCA, relvance ranking, temporal adaptation, tf-idf, topic model",

author = "Jukka Perki{\"o} and Wray Buntine and Henry Tirri",

year = "2005",

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doi = "10.1145/1076034.1076171",

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series = "SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval",

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booktitle = "SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval",

address = "United States of America",

note = "ACM International Conference on Research and Development in Information Retrieval 2005, SIGIR 2005 ; Conference date: 15-08-2005 Through 19-08-2005",

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Perkiö, J, Buntine, W & Tirri, H 2005, A temporally adaptive content-based relevance ranking algorithm. in SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery (ACM), pp. 647-648, ACM International Conference on Research and Development in Information Retrieval 2005, Salvador, Brazil, 15/08/05. https://doi.org/10.1145/1076034.1076171

A temporally adaptive content-based relevance ranking algorithm. / Perkiö, Jukka; Buntine, Wray; Tirri, Henry.
SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), 2005. p. 647-648 (SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

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Y1 - 2005/12/1

N2 - In information retrieval relevance ranking of the results is one of the most important single tasks there are. There are many diffierent ranking algorithms based on the content of the documents or on some external properties e.g. link structure of html documents.We present a temporally adaptive content-based relevance ranking algorithm that explicitly takes into account the temporal behavior of the underlying statistical properties of the documents in the form of a statistical topic model. more we state that our algorithm can be used on top of any ranking algorithm.

AB - In information retrieval relevance ranking of the results is one of the most important single tasks there are. There are many diffierent ranking algorithms based on the content of the documents or on some external properties e.g. link structure of html documents.We present a temporally adaptive content-based relevance ranking algorithm that explicitly takes into account the temporal behavior of the underlying statistical properties of the documents in the form of a statistical topic model. more we state that our algorithm can be used on top of any ranking algorithm.

KW - MPCA

KW - relvance ranking

KW - temporal adaptation

KW - tf-idf

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Perkiö J, Buntine W, Tirri H. A temporally adaptive content-based relevance ranking algorithm. In SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM). 2005. p. 647-648. (SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval). doi: 10.1145/1076034.1076171

A temporally adaptive content-based relevance ranking algorithm

Abstract

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Conference

Keywords

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