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Optimization of relevance feedback weights

Chris Buckley, Gerard Salton
1995 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '95  
A good starting feedback query is used; one that has been proven to work well in many environments.  ...  in the greatest number of relevant documents.  ... 
doi:10.1145/215206.215383 dblp:conf/sigir/BuckleyS95 fatcat:2k3p4ej4bnfxdgbr4q4vjarnbe

Learning to Reinforce Search Effectiveness

Jiyun Luo, Xuchu Dong, Hui Yang
2015 Proceedings of the 2015 International Conference on Theory of Information Retrieval - ICTIR '15  
In this paper, we propose a novel reinforcement learning style information retrieval framework and develop a new feedback learning algorithm to model user feedback, including clicks and query reformulations  ...  Session search is an Information Retrieval (IR) task which handles a series of queries issued for a search task.  ...  Any opinions, findings, conclusions, or recommendations expressed in this paper are of the authors, and do not necessarily reflect those of the sponsor.  ... 
doi:10.1145/2808194.2809468 dblp:conf/ictir/LuoDY15a fatcat:7ui67ulsojhmpo6v4ipfotunwq

The Use of Implicit Evidence for Relevance Feedback in Web Retrieval [chapter]

Ryen W. White, Ian Ruthven, Joemon M. Jose
2002 Lecture Notes in Computer Science  
In practice, relevance feedback can be very effective but it relies on users assessing the relevance of documents and indicating to the system which documents contain relevant information.  ...  In this paper, we examine the extent to which implicit feedback (where the system attempts to estimate what the user may be interested in) can act as a substitute for explicit feedback (where searchers  ...  Acknowledgements We would like to thank fellow members of the Information Retrieval group for their thoughts and assistance.  ... 
doi:10.1007/3-540-45886-7_7 fatcat:nzgecxzamfe37bcxbrkivoyt4m

Enhancing query reformulation by combinig content and hypertext analyses

Anis Benammar
2004 European Conference on Information Systems  
Information retrieval techniques play a critical role in the development of the information systems. Different searches have focused on the way of improving the retrieval effectiveness.  ...  Query expansion via relevance feedback is a good technique that proved to be a good way to improve the retrieval performance.  ...  Let examine the following example to show the limit of this assumption: suppose we examine a query dealing with a scientific topic, in the first result we can get the home page of a searcher.  ... 
dblp:conf/ecis/Benammar04 fatcat:2jdecjlluzdm7p6pob7rnddvcq

Relevance and reinforcement in interactive browsing

Anton Leuski
2000 Proceedings of the ninth international conference on Information and knowledge management - CIKM '00  
We demonstrate that its performance significantly exceeds the performance of the traditional relevance feedback approach.  ...  We describe an interactive relevance feedback agent that analyzes the inter-document similarities and can help the user to locate the interesting information quickly.  ...  Any opinions, findings and conclusions or recommendations expressed in this material are the authors' and do not necessarily reflect those of the sponsors.  ... 
doi:10.1145/354756.354809 dblp:conf/cikm/Leuski00 fatcat:vrt77ofqo5b5noiefy3re2zgpy

Automatic feedback using past queries

Larry Fitzpatrick, Mei Dent
1997 Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '97  
The effect of using paat queries to improve automatic query expansion was examined in the TREC environment.  ...  A new query similarity metric was used based on comparing result lists and using probability of relevance.  ...  In operational environments, close examination of query logs clearly indicates the overlap in topic interests between searches.  ... 
doi:10.1145/258525.258597 dblp:conf/sigir/FitzpatrickD97 fatcat:kanrng7uxvappejiyze2zrfacu

The effect of accessing nonmatching documents on relevance feedback

Mark D. Dunlop
1997 ACM Transactions on Information Systems  
This paper shows that, in systems that allow access to non-matching documents (e.g. hybrid hypertext and information retrieval systems), the strength of the effect of giving relevance feedback varies between  ...  However, for negative feedback the results show behaviour that cannot easily be justified and that varies greatly depending on the model of feedback used.  ...  For the experiments in this section the effect that a feedback has on the state of the IR engine is measured with respect to the examination document instead of a query document.  ... 
doi:10.1145/248625.248650 fatcat:qy5kzxizl5a65gnb3rjdv4aq5e

Incremental relevance feedback for information filtering

James Allan
1996 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '96  
We also demonstrate methods that reduce the amount of information archived from past judged documents without adversely tiecting effectiveness.  ...  We use data from the TREC routing experiments to explore how relevance feedback can be applied incrementally-using a few judged documents each tim~to achieve results that are as good as if the feedback  ...  feedback starts from the original query, possibly includes some information from past feedback cycles, includes some new set of relevance judg- ments, and generates a new query by adding up to  ... 
doi:10.1145/243199.243274 dblp:conf/sigir/Allan96 fatcat:pwvtslvkcfd2dmqnabqnh4dnsy

A comparison of general vs personalised affective models for the prediction of topical relevance

Ioannis Arapakis, Konstantinos Athanasakos, Joemon M. Jose
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
Implicit feedback techniques have been employed in the past to address many of these issues.  ...  Information retrieval systems face a number of challenges, originating mainly from the semantic gap problem.  ...  This way we were able to examine if by adding personal data we improved the performance of our model more than by adding general data.  ... 
doi:10.1145/1835449.1835512 dblp:conf/sigir/ArapakisAJ10 fatcat:nvq2ox6orbbuhnupilef4rmwyq

Relevance feedback and inference networks

David Haines, W. Bruce Croft
1993 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '93  
Relevance feedback, which modi es queries using judgements of the relevance of a few, highly-ranked documents, has historically been an important method for increasing the performance of information retrieval  ...  In this paper, we extend the inference network model introduced by Turtle and Croft to include relevance feedback techniques.  ...  Adding new terms to a query is e ective for relevance feedback. This is another \known" result that needs testing in a full text environment. 4.  ... 
doi:10.1145/160688.160689 dblp:conf/sigir/HainesC93 fatcat:nf2yyyzcengk7j4vrequg37dui

Unifying Implicit and Explicit Feedback for Multi-Application User Interest Modeling

Sampath Jayarathna
2015 Bulletin of IEEE Technical Committee on Digital Libraries  
To address this issue, this research proposal studies the importance of combining various implicit and explicit relevance feedback indicators in a multi-application environment.  ...  A wide range of techniques have been applied to user interest modeling. Most systems examine the modeling problem in the context of use of a single application.  ...  ACKNOWLEDGMENTS I would like to thank my advisor Frank Shipman for his support, guidance and valuable feedback and colleague Atish Patra for the help in collecting ground-truth dataset.  ... 
dblp:journals/tcdl/Jayarathna15 fatcat:n6g5hwoobzexndpdmh6jeaq5fm

Designing a tool for exploratory information seeking

Gene Golovchinsky, Anthony Dunnigan, Abdigani Diriye
2012 Proceedings of the 2012 ACM annual conference extended abstracts on Human Factors in Computing Systems Extended Abstracts - CHI EA '12  
Information seeking is a cognitively demanding process that can benefit from many kinds of information.  ...  We describe an on-going design process in building Querium, a search system for multi-session exploratory search tasks.  ...  Conversely, when a query retrieves mostly Relevance feedback (RF) RF is the process of expanding and re-evaluating an existing query based on information extracted from "useful" documents.  ... 
doi:10.1145/2212776.2223712 dblp:conf/chi/GolovchinskyDD12 fatcat:bcl67np7dngvvirjk4ph5o4yfi

Evaluating a Novel Kind of Retrieval Models Based on Relevance Decision Making in a Relevance Feedback Environment

Ho Chung Wu, Edward K. F. Dang, Robert Wing Pong Luk, G. Ngai, Yinghao Li, James Allan, Kui-Lam Kwok, Kam-Fai Wong
2008 Text Retrieval Conference  
This paper presents the results of our participation in the relevance feedback track using our novel retrieval models. These models simulate human relevance decision-making.  ...  For each document location of a query term, information from its document-context at that location determines the relevance decision outcomes there.  ...  Robert thanks the Center for Intelligent Information Retrieval, University of Massachusetts (UMASS) for facilitating him to develop in part the basic IR system, when he was on leave at UMASS.  ... 
dblp:conf/trec/WuDLNLAKW08 fatcat:hssxhgo3pnhvben2pd4z42t64i

Development of an e-Learning Portal for Pediatric Endocrinology: Educational Considerations

K. Grijpink-van den Biggelaar, S.L.S. Drop, L. Schuwirth
2010 Hormone Research in Paediatrics  
Methods: A systematic approach was used to identify the relevant aspects of accessibility and dissemination.  ...  Results: The intensive collaboration between medical, educational and information technology disciplines resulted in a portal design.  ...  If the portal is used as a learning environment, the student receives immediate feedback. If used as an examination environment, students have a complementary tool to demonstrate their competencies.  ... 
doi:10.1159/000284366 pmid:20197677 fatcat:zqvjozyt5nd2to6vikqpbtbchm

A parallel relational database management system approach to relevance feedback in information retrieval

Carol Lundquist, Ophir Frieder, David O. Holmes, David Grossman
1999 Journal of the American Society for Information Science  
To support portability across a wide-range of execution environments, including parallel multicomputers, all algorithms strictly adhere to the SQL-92 standard.  ...  By incorporating relevance feedback algorithms, accuracy was significantly enhanced over prior database-driven information retrieval efforts.  ...  Relevance Feedback Thresholding When the precision and recall levels for individual queries were examined, a correlation coefficient of +0.24 was identified between the percentage of improvement in exact  ... 
doi:10.1002/(sici)1097-4571(1999)50:5<413::aid-asi4>3.3.co;2-w fatcat:x5d2yj33xzf6bbhc5zhs6escyu
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