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Improving retrieval feedback with multiple term-ranking function combination
2002
ACM Transactions on Information Systems
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The combined retrieval feedback method is effective not only with respect to unexpanded queries but also to any individual method, with notable improvements on the system's precision. ...
Motivated by these findings, we argue that the results of multiple functions can be merged, by analogy with ensembling classifiers, and present a simple combination technique based on the rank values of ...
Figure 1 and 2 and Table 3 demonstrate the potential of multiple term-ranking functions to improve retrieval performance. ...
doi:10.1145/568727.568728
fatcat:5ptoxedt5nhh7lwv4hux7w7qdy
Combining Multiple Evidence from Different Relevance Feedback Methods
1997
Database Systems for Advanced Applications '97
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Experimental results show that significant improvements can be obtained by the combination of multiple query vectors expanded with different relevance feedback methods. ...
Recent work suggests that significant improvement in retrieval performance can be achieved by combining multiple representations of an information need. ...
Acknowledgments This work was supported in part by the NSF Center for Intelligent Information Retrieval at the University of Massachusetts at Amherst. ...
doi:10.1142/9789812819536_0044
fatcat:hfkar5l2czf23b3bjzr4ojen6m
Towards More Effective Techniques for Automatic Query Expansion
[chapter]
1999
Lecture Notes in Computer Science
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We then argue, based on their variation in performance on individual queries, that the set of ranked terms suggested by individual distributional methods can be combined to further improve mean performance ...
However, we also show that when the same distributional methods are used to both select and weight expansion terms the retrieval effectiveness may considerably improve. ...
estimation and combination of multiple results. ...
doi:10.1007/3-540-48155-9_10
fatcat:rqqc734gjzcf5pvbxmve6xqma4
Ranked feature fusion models for ad hoc retrieval
2008
Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08
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Typical information retrieval formalisms such as the vector space model, the bestmatch model and the language model first combine features (such as term frequency and document length) into a unified representation ...
This new "rank then combine" approach is extensively evaluated and is shown to be as effective as traditional "combine then rank" approaches. ...
Multiple term frequency and document length metrics can improve overall rankings. The feature-rank fusion model can incorporate multiple types of tf , seamlessly and simultaneously. ...
doi:10.1145/1458082.1458200
dblp:conf/cikm/PickensG08
fatcat:2eq4wlpuajhojpk453xt2rc3yq
Estimation and use of uncertainty in pseudo-relevance feedback
2007
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07
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We find that resampling documents helps increase individual feedback model precision by removing noise terms, while sampling from the query improves robustness (worst-case performance) by emphasizing terms ...
Existing pseudo-relevance feedback methods typically perform averaging over the top-retrieved documents, but ignore an important statistical dimension: the risk or variance associated with either the individual ...
(peace talks))
Combining enhanced feedback models from multiple query variants When using multiple query variants, the resulting enhanced feedback models are combined using Bayesian model combination ...
doi:10.1145/1277741.1277795
dblp:conf/sigir/Collins-ThompsonC07
fatcat:3grvnr7a3ze7rnzwszwnvpz33i
Patent Retrieval Based on Multiple Information Resources
[chapter]
2016
Lecture Notes in Computer Science
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LambdaRank was employed to improve patent retrieval performance by combining different query expansion methods with different text fields weighting strategies of different resources. ...
Experiments on TREC data sets showed that our combination of multiple information sources for query formulation was more effective than using any single source to improve patent retrieval performance. ...
In this paper, we use BM25F as the initial retrieval method for feedback documents, which considers multiple fields. ...
doi:10.1007/978-3-319-48051-0_10
fatcat:7f2fehule5ay3kubsv4bbaobz4
Ranks Aggregation and Semantic Genetic Approach based Hybrid Model for Query Expansion
2017
International Journal of Computational Intelligence Systems
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These methods remove irrelevant and redundant terms from the top retrieved feedback documents with respect to a user query. ...
Second, we propose a model for combining multiple expansion terms selection methods by using a variety of ranks combining approaches. ...
In this research, we investigate a new approach of ranks combination to combine multiple QE terms selection methods. The ranks combination is a method to analyze the combine multiple scoring systems. ...
doi:10.2991/ijcis.2017.10.1.4
fatcat:cme2zofzpzdpblsfjgol3klb2i
Aggregation of Multiple Pseudo-Relevance Feedbacks for Image Search Reranking
2019
IEEE Access
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INDEX TERMS Image retrieval, re-ranking, pseudo relevance feedback, Borda count. ...
Image retrieval effectiveness can be improved by pseudo relevance feedback (PRF), which automatically uses top-k images of the initial retrieval result as the pseudo feedback. ...
Figures 4 and 5 show obviously that combining multiple retrieval results takes longer time than using single retrieval 4 The software is based on Matlab 7 on an Intel Pentium 4 computer, with a 2.8GHz ...
doi:10.1109/access.2019.2942142
fatcat:jqucuyx4vrcqpg7jzv7vyv3ndu
A study of methods for negative relevance feedback
2008
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08
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We use two sampling strategies to adapt a test collection with easy topics to evaluate negative feedback. ...
Experiment results on several TREC collections show that language model based negative feedback methods are generally more effective than those based on vector-space models, and using multiple negative ...
with a single negative query model; (3) MultiNeg: score combination with multiple negative query models. ...
doi:10.1145/1390334.1390374
dblp:conf/sigir/WangFZ08
fatcat:li5ilu2qpzfmfgtyrr37yphyqe
A Multiple Relevance Feedback Strategy with Positive and Negative Models
2014
PLoS ONE
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Citation: Ma Y, Lin H (2014) A Multiple Relevance Feedback Strategy with Positive and Negative Models. PLoS ONE 9(8): e104707. ...
Then, we conduct a novel study of multiple strategies for relevance feedback using both positive and negative examples from the first-pass retrieval to improve retrieval accuracy for such difficult queries ...
A effective positive language model can combine with the original query language model to improve the ranking of relevant documents by boosting their relevance scores directly, and it can be optimized ...
doi:10.1371/journal.pone.0104707
pmid:25137234
pmcid:PMC4138086
fatcat:slkxgcsuyngafams6fomerebqe
Learning to rank relevant and novel documents through user feedback
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
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evaluation of session-based retrieval comprising multiple ranked lists. ...
) It measures retrieval performance in terms of relevant as well as novel information, (ii) gives more importance to top ranks to reflect common browsing behavior of users, as opposed to existing objective ...
Multiple Ranked Lists The above definition extends naturally to session-based retrieval with multiple ranked lists by extending the definition of stopping distribution as well as utility to multiple ranked ...
doi:10.1145/1871437.1871499
dblp:conf/cikm/LadY10
fatcat:p2ondewxvbg5dnnslanzjzyoku
A boosting approach to improving pseudo-relevance feedback
2011
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11
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Pseudo-relevance feedback has proven effective for improving the average retrieval performance. ...
pseudo feedback methods and a standard learning to rank approach for pseudo feedback. ...
Another difference is that most learning to rank work learns optimal ways to combine retrieval functions but fails to improve the query representation. ...
doi:10.1145/2009916.2009942
dblp:conf/sigir/LvZC11
fatcat:nsit2kto6rev7nmsnopgozvwge
Genetic Programming-Based Discovery of Ranking Functions for Effective Web Search
2005
Journal of Management Information Systems
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Automatic combination of multiple ranked retrieval systems. In W.B. ...
At the same time, even though our approach improves performance less dramatically for the feedback queries, it still signifi- cantly improves (with statistical significance) the retrieval performance over ...
doi:10.1080/07421222.2005.11045828
fatcat:2qn6uz3k6baptbc4qklrz46xle
Combining and selecting characteristics of information use
2002
Journal of the American Society for Information Science and Technology
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In this paper we report on a series of experiments designed to investigate the combination of term and document weighting functions in Information Retrieval. ...
on combination of evidence for ad-hoc retrieval, the other based on selective combination of evidence within a relevance feedback situation. ...
The members of the Glasgow University Information Retrieval Group provided many helpful comments on this work. ...
doi:10.1002/asi.10046
fatcat:hwviu2kktvcxhozdckkqxi55my
Statistical Language Models for Information Retrieval A Critical Review
2007
Foundations and Trends in Information Retrieval
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Statistical language models have recently been successfully applied to many information retrieval problems. ...
In general, statistical language models provide a principled way of modeling various kinds of retrieval problems. ...
I want to thank Donald Metzler and two anonymous reviewers for their many useful comments and suggestions on how to improve this survey. ...
doi:10.1561/1500000008
fatcat:la7s5dyn5vdfda4rmuyxkw6pdm
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