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An incremental approach to efficient pseudo-relevance feedback
2013
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13
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In this paper, we study how to improve the efficiency of pseudo-relevance feedback methods. ...
Pseudo-relevance feedback is an important strategy to improve search accuracy. ...
RELATED WORK
Pseudo-Relevance Feedback Methods Pseudo-relevance feedback is an effective technique for improving retrieval accuracy. ...
doi:10.1145/2484028.2484051
dblp:conf/sigir/WuF13
fatcat:n35hptk6w5gtln3jbgh4z73edq
Incorporating Semantic Word Representations into Query Expansion for Microblog Information Retrieval
2019
Information Technology and Control
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In addition, we also combine the traditional pseudo-relevance feedback query expansion method with the proposed query expansion method. ...
Since the contents of microblogs are always non-standardized and flexible, including many popular Internet expressions, the retrieval accuracy of microblogs has much room for improvement. ...
Parameter Selection for Pseudo-Relevance Feedback We index the Sina Microblog corpus using the Lucene 3.5 search engine released by Apache. ...
doi:10.5755/j01.itc.48.4.22487
fatcat:7nufcwuwabcyberduwvimkox4m
Bi-gram based Query Expansion Technique for Amharic Information Retrieval System
2015
International Journal of Information Engineering and Electronic Business
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Even though the task of information retrieval systems is to retrieve relevant information, it is very difficult to find a perfect information retrieval system which is capable of retrieving relevant and ...
Query expansion methods outperform in differentiating the various meanings of a polysemous term and find synonymous terms for reformulating users' query. ...
There are two relevance feedback mechanisms [7] : users' relevance feedback and pseudo relevance feedback methods. ...
doi:10.5815/ijieeb.2015.06.01
fatcat:fnmqkwzyazcpledteuhx5joixu
Mental Visual Indexing
2016
Proceedings of the 2016 ACM on Multimedia Conference - MM '16
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In sharp contrast to traditional Relevance Feedback (RF), we propose a novel paradigm for fast video browsing dubbed Mental Visual Indexing (MVI). ...
Therefore, it is crucial for a video browsing system to be fast and accurate with minimum user effort. ...
We are grateful to all study participants for their contributions and to NExT for the supply of lab facilities. ...
doi:10.1145/2964284.2967296
dblp:conf/mm/HongHZC16
fatcat:zb3xmlx3z5hzzkldiggsazmzzu
Bridging the Semantic Gap Between Image Contents and Tags
2010
IEEE transactions on multimedia
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Furthermore, the presented framework not only can naturally incorporate the pseudo relevance feedback process, but also it can be directly applied to applications such as content-based image retrieval, ...
Index Terms-Content-based image retrieval, image annotation, random walk, text-based image retrieval. ...
ACKNOWLEDGMENT The authors also would like to thank the reviewers and associate editor for their helpful comments. ...
doi:10.1109/tmm.2010.2051360
fatcat:zipoonbsibbd7pcmd7pvbz3mze
VisionGo: Towards video retrieval with joint exploration of human and computer
2011
Information Sciences
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Generally, an interactive video retrieval scheme should contain two more components in comparison with automatic retrieval: (a) methods for effective using relevance feedback; and (b) information visualization ...
user annotation and an intuitive visualization of retrieval results; (2) it employs a multiple feedback technique that assists users in choosing proper method to enhance relevance feedback performance ...
Multiple feedback strategies In order to improve the accuracy of video retrieval, many existing systems have applied certain forms of automated feedback methods such as pseudo relevance feedback [31] ...
doi:10.1016/j.ins.2011.05.018
fatcat:oq3lnzorpnfvlfbd2vz2bwuzjy
A Novel Language-Model-Based Approach for Image Object Mining and Re-ranking
2008
2008 Eighth IEEE International Conference on Data Mining
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In this paper, we propose a novel languagemodel-based approach with pseudo-relevance feedback for addressing the vocabulary problem in visual BOW mining. ...
Our algorithms are shown to bring significant improvement in the retrieval accuracy over a non-feedback baseline, and achieve better performance than conventional feedback approaches. ...
After an initial run using this baseline visual BOW mining method, we take the top 20 images for pseudo-relevance feedback. ...
doi:10.1109/icdm.2008.83
dblp:conf/icdm/HsiaoCC08
fatcat:zcrqmgx6pzfljmtf24x53vk3wm
Document Retrieval and Cluster Based Indexing using Rider Spider Monkey Optimization Algorithm
2020
International journal of recent technology and engineering
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Document retrieval process is more significant in the field of research community for retrieving the highly-relevant documents that fit for the user query. ...
Even though various document retrieval methods are introduced, retrieving the exact document based on the indexing is a quite challenging task in the document retrieval framework. ...
Pseudo relevance feedback mechanism (PRF) is used to make high representation in terms of short query and also assure to enhance the retrieval performance. ...
doi:10.35940/ijrte.f7508.038620
fatcat:opobso3fnvel5elt74dz6bfrhi
Smart Information Retrieval using Query Transformation based on Ontology and Semantic-Association
2022
International Journal of Advanced Computer Science and Applications
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This imprecise representation of the query hampers the effectiveness of the retrieval system. One method to solve this problem is to transform the original query into a more meaningful form. ...
This paper proposes an ontologybased retrieval system that transforms initial user queries using domain ontologies and applies semantic association during the indexing process. ...
The authors conclude that query transformation using ontology has a high impact on retrieval performance. ...
doi:10.14569/ijacsa.2022.0130446
fatcat:sri7b6wozrbd5cd2xpfpq522bu
Word embedding for French natural language in healthcare: a comparative study (Preprint)
2018
JMIR Medical Informatics
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Although this implementation had the best rate for semantic properties conservation, each model has its own qualities and defects, such as the training time, which is very short for GloVe, or morphological ...
The aim of this study was to compare embedding methods trained on a corpus of French health-related documents produced in a professional context. ...
Most notable of these is pseudo-feedback, a variant of relevance feedback. ...
doi:10.2196/12310
pmid:31359873
pmcid:PMC6690161
fatcat:jntc3ylh3rdwzkzx4ivhernsha
Integrating frame-based and segment-based dynamic time warping for unsupervised spoken term detection with spoken queries
2011
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Then the pseudo relevance feedback is used to expand acoustic variations of the query. ...
Rapidly increasing quantities of multimedia and spoken content today demand fast and accurate retrieval approaches for convenient browsing. ...
The detection performance is further improved by pseudo relevance feedback. ...
doi:10.1109/icassp.2011.5947642
dblp:conf/icassp/ChanL11
fatcat:p6gmgnqlybfw7mx7bv5xoe7j5y
Relevance Feedback between Hypertext and Semantic Web Search: Frameworks and Evaluation
2011
Social Science Research Network
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We further show that the use of Semantic Web inference seems to hurt performance, while the pseudo-relevance feedback increases performance in both cases, although not as much as actual relevance feedback ...
While relevance feedback has traditionally improved information retrieval performance, relevance feedback is normally used to improve rankings over a single data-set. ...
However, in general pseudo-relevance feedback is a more feasible method, as human intervention is not required. ...
doi:10.2139/ssrn.3199537
fatcat:zwckbaibqvfuzjq2qjvwmdumky
Relevance feedback between hypertext and Semantic Web search: Frameworks and evaluation
2011
Journal of Web Semantics
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We further show that the use of Semantic Web inference seems to hurt performance, while the pseudo-relevance feedback increases performance in both cases, although not as much as actual relevance feedback ...
While relevance feedback has traditionally improved information retrieval performance, relevance feedback is normally used to improve rankings over a single data-set. ...
However, in general pseudo-relevance feedback is a more feasible method, as human intervention is not required. ...
doi:10.1016/j.websem.2011.10.001
fatcat:6ix6nb7vkzgr3a7pppu6dan2aq
A Survey of Automatic Query Expansion in Information Retrieval
2012
ACM Computing Surveys
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., the source of data, the feature extraction method, and the representation of the expanded query. The latter characterization is more useful for system comparison. ...
First, the fast response times required by web search applications may prevent the use of some computationally expensive AQE techniques. ...
ACKNOWLEDGMENTS We are very grateful to three anonymous reviewers for their excellent comments and suggestions. ...
doi:10.1145/2071389.2071390
fatcat:zt4urayicrgb5hbogj5mo7p2hm
Task-Oriented Query Reformulation with Reinforcement Learning
2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
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Furthermore, we present a simple method to estimate a conservative upperbound performance of a model in a particular environment and verify that there is still large room for improvements. ...
In this work, we introduce a query reformulation system based on a neural network that rewrites a query to maximize the number of relevant documents returned. ...
A popular instantiation of a local method is the relevance model, which incorporates pseudo-relevance feedback into a language model form (Lavrenko and Croft, 2001) . ...
doi:10.18653/v1/d17-1061
dblp:conf/emnlp/NogueiraC17
fatcat:vukpwjvbozclbiut7nmlaypqxu
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