See this document in CiteSeerX!

Using Temporal Profiles of Queries for Precision Prediction (2004)  (Make Corrections)  (2 citations)
Fernando Diaz, Rosie Jones
Proceedings of the 27th annual international conference on Research and development in information retrieval



  Home/Search   Context   Related

 
View or download:
umass.edu/pubfiles/ir336.pdf
Cached:  PDF   PS.gz  PS  Image  Update  Help

From:  umass.edu/pubfiles/#2 (more)
Homepages:  F.Diaz  

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: A key missing component in information retrieval systems is self-diagnostic tests to establish whether the system can provide reasonable results for a given query on a document collection. If we can measure properties of a retrieved set of documents which allow us to predict average precision, we can automate the decision of whether to elicit relevance feedback, or modify the retrieval system in other ways. We use meta-data attached to documents in the form of time stamps to measure the... (Update)

Cited by:   More
Temporal Dynamics of On-Line Information - Streams Jon Kleinberg   (Correct)
The Lowlands' TREC Experiments 2005 - Henning Rode Georgina   (Correct)

Active bibliography (related documents):   More   All
0.6:   Bayesian Graphical Models for Adaptive Filtering - Zhang (2005)   (Correct)
0.2:   Newsjunkie: Providing Personalized Newsfeeds via - Analysis Of Information   (Correct)
0.2:   Newsjunkie: Providing Personalized Newsfeeds via.. - Gabrilovich, Dumais.. (2004)   (Correct)

Similar documents based on text:   More   All
0.1:   Browsing-based User Language Models for Information Retrieval - Diaz, Allan (2003)   (Correct)
0.1:   Using Wearable Computers to Construct Semantic Representations of.. - Diaz   (Correct)
0.0:   Enhancing Profiles for Anomaly Detection Using Time.. - Li, Wu, Jajodia, Wang (2000)   (Correct)

Related documents from co-citation:   More   All
2:   Bursty and hierarchical structure in streams - Kleinberg - 2002

BibTeX entry:   (Update)

F. Diaz, R. Jones. Using Temporal Profiles of Queries for Precision Prediction. In M. Sanderson, et al. (eds.), Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 18--24. ACM, She#eld, UK, 2004. http://citeseer.ist.psu.edu/diaz04using.html   More

@inproceedings{ 1008998,
 author = {Fernando Diaz and Rosie Jones},
 title = {Using temporal profiles of queries for precision prediction},
 booktitle = {Proceedings of the 27th annual international conference on Research and development in information retrieval},
 year = {2004},
 isbn = {1-58113-881-4},
 pages = {18--24},
 location = {Sheffield, United Kingdom},
 doi = {http://doi.acm.org/10.1145/1008992.1008998},
 publisher = {ACM Press},
 url = {citeseer.ist.psu.edu/diaz04using.html} }
Citations (may not include all citations):
262   Data Mining: Practical Machine Learning Tools and Techniques.. (context) - Witten, Frank - 1999
70   Viewing morphology as an inference process - Krovetz - 1993
48   Relevance-based language models - Lavrenko, Croft - 2001
19   Bursty and hierarchical structure in streams - Kleinberg - 2002
11   Predicting query performance (context) - Cronen-Townsend, Zhou et al. - 2002
10   TimeMines: Constructing timelines with statistical models of.. - Swan, Jensen - 2000
10   Language Modeling for Information Retrieval (context) - Croft, La - 2003
2   The lemur toolkit for language modeling and information retr.. (context) - Allan, Callan et al. - 2003
1   Temporal profiles of queries (context) - Diaz, Jones - 2004
1   Time-based language models - Li, Croft - 2003

Documents on the same site (http://ciir.cs.umass.edu/pubfiles/#2):   More
Question Classification Using Language Modeling - Li   (Correct)
QuASM: A System for Question Answering Using.. - Pinto, Branstein.. (2002)   (Correct)
Improving Realism of Topic Tracking Evaluation - Leuski, Allen (2002)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC