The DOI matches its Crossref record.
Clustering of search results using temporal attributes
Abstract
Clustering of search results is an important feature in many of today's information retrieval applications. The notion of hit list clustering appears in Web search engines and enterprise search engines as a mechanism that allows users to further explore the coverage of a query. However, there has been little work on exposing temporal attributes for constructing and presentation of clusters. These attributes appear in documents as part of the textual content, e.g., as a date and time token or as a temporal reference in a sentence. In this paper, we outline a model and describe a prototype that shows the main ideas.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“[Alonso and Gertz 2006] described a prototype that provides users with an alternative presentation of the results by a hit list of documents clustered by temporal attributes.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Alonso and Gertz 2006
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 7
- R. Baeza-Yates "Searching the Future" SIGIR Workshop MF/IR ( 2005 ). R. Baeza-Yates "Searching the Future" SIGIR Workshop MF/IR (2005).
- 10.1145/290941.290956 · DOI
- 10.1145/1060745.1060831 · DOI
- H. Cunningham , D. Maynard , K. Bontcheva , V. Tablan . "GATE : A Framework and Graphical Development Environment for Robust NLP Tools and Applications ", ACL'02 . PA, July 2002 . H. Cunningham, D. Maynard, K. Bontcheva, V. Tablan. "GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications", ACL'02. PA, July 2002.
- 10.1147/sj.393.0597 · DOI
- 10.3115/1118238.1118247 · DOI
- 10.1145/331499.331504 · DOI
Cited by
Sorted by citations
Survey of Temporal Information Retrieval and Related Applications
Campos, R., Dias, G., Jorge, A. M., & Jatowt, A. (2015) · ACM Computing Surveys · doi:10.1145/2619088 · Cited by 262
Metadata
- Authors
- Alonso, O., & Gertz, M.
- Affiliations
- University of California at Davis
- Venue
- Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
- Publisher
- ACM
- Published
- 2006-08-06
- Pages
- 597-598
- Cited by
- 17
- References
- 0
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
