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An incremental approach to efficient pseudo-relevance feedback

Hao Wu, Hui Fang
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
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

Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu, Lin Wang, Jiping Gao
2019 Information Technology and Control  
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

Abey Bruck, Tulu Tilahun
2015 International Journal of Information Engineering and Electronic Business  
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

Richang Hong, Jun He, Hanwang Zhang, Tat-Seng Chua
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
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

Hao Ma, Jianke Zhu, Michael Rung-Tsong Lyu, Irwin King
2010 IEEE transactions on multimedia  
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

Huanbo Luan, Yan-Tao Zheng, Meng Wang, Tat-Seng Chua
2011 Information Sciences  
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

Jen-Hao Hsiao, Chu-Song Chen, Ming-Syan Chen
2008 2008 Eighth IEEE International Conference on Data Mining  
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  
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

Ram Kumar, S. C. Sharma
2022 International Journal of Advanced Computer Science and Applications  
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)

Emeric Dynomant, Romain Lelong, Badisse Dahamna, Clément Massonaud, Gaétan Kerdelhué, Julien Grosjean, Stéphane Canu, Stefan J Darmoni
2018 JMIR Medical Informatics  
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

Chun-an Chan, Lin-shan Lee
2011 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
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

Harry Halpin, Victor Lavrenko
2011 Social Science Research Network  
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

Harry Halpin, Victor Lavrenko
2011 Journal of Web Semantics  
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

Claudio Carpineto, Giovanni Romano
2012 ACM Computing Surveys  
., 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

Rodrigo Nogueira, Kyunghyun Cho
2017 Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing  
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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