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Pseudo Relevance Feedback by linking WordNet for Expanding Queries in Information Retrieval Process

Ramakrishna Kolikipogu, B. Padmaja Rani, N. Swapna
<span title="">2013</span> <i title="IACSIT Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ducnoejimngvtna6e6wxprm7la" style="color: black;">International Journal of Modeling and Optimization</a> </i> &nbsp;
Pseudo Relevance Feedback is one of the proven methods of QE which consider relevant terms to be expanded.  ...  Selection of key terms to expand the root query is a challenging task. Semantic relationships of a particular term in WordNet will improve the performance.  ...  In general recall will get increase with and precision will drop with query expansion. From the proposed model, we combined both Pseudo Relevance Feedback and WordNet terms for expanding the query.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijmo.2013.v3.321">doi:10.7763/ijmo.2013.v3.321</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sq4qnf3lhnbnjny7ljvgmystta">fatcat:sq4qnf3lhnbnjny7ljvgmystta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809063247/http://www.ijmo.org/papers/321-S405.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/36/57/3657606c959a26e58cff0c28d1a6c3296fed11c5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijmo.2013.v3.321"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Graph-based approach for text query expansion using pseudo relevance feedback and association rules mining

Siham Jabri, Azzeddine Dahbi, Taoufiq Gadi
<span title="2019-12-01">2019</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sdt65w3c4jeojd2d4wr6rbkebe" style="color: black;">International Journal of Electrical and Computer Engineering (IJECE)</a> </i> &nbsp;
Pseudo-relevance feedback is a query expansion approach whose terms are selected from a set of top ranked retrieved documents in response to the original query.  ...  This paper suggests the use of documents selected using Pseudo Relevance Feedback for generating association rules. Thus, an algorithm based on dominance relations is applied.  ...  In this paper, another a query expansion technique is introduced using pseudo relevance feedback and association rules for building a Pseudo-Graph Feedback in order to expand queries by semantically related  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v9i6.pp5016-5023">doi:10.11591/ijece.v9i6.pp5016-5023</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ehpnowpwhfblfawtceg47r54jm">fatcat:ehpnowpwhfblfawtceg47r54jm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200216011848/http://ijece.iaescore.com/index.php/IJECE/article/download/16554/13313" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/38/8a/388afb22723852af46aaf457a453b6afaf778f63.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v9i6.pp5016-5023"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Predicting document effectiveness in pseudo relevance feedback

Mostafa Keikha, Jangwon Seo, W. Bruce Croft, Fabio Crestani
<span title="">2011</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6g37zvjwwrhv3dizi6ffue642m" style="color: black;">Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM &#39;11</a> </i> &nbsp;
Pseudo relevance feedback (PRF) is one of effective practices in Information Retrieval.  ...  In particular, PRF via the relevance model (RM) has been widely used due to the theoretical soundness and effectiveness.  ...  That is, when generating a single relevance model, these useful terms might be discarded in the final expanded query.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2063576.2063890">doi:10.1145/2063576.2063890</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cikm/KeikhaSCC11.html">dblp:conf/cikm/KeikhaSCC11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tzvbz6uhhbgijkmf2tqi4pycwu">fatcat:tzvbz6uhhbgijkmf2tqi4pycwu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150314195149/http://people.cs.umass.edu:80/~keikham/papers/pp0164-keikha.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5b/1d/5b1d4c53be3d58c6d684cfa6df9d792ce8f8898f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2063576.2063890"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Modeling multiple interactions with a Markov random field in query expansion for session search

Jingfei Li, Xiaozhao Zhao, Peng Zhang, Dawei Song
<span title="2017-11-23">2017</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gm6q54qw4jf5nj2lkrr2jruol4" style="color: black;">Computational intelligence</a> </i> &nbsp;
In a typical interactive Web search scenario, namely, session search, to obtain relevant information, the user usually interacts with the search engine for several rounds in the forms of, eg, query reformulations  ...  In this paper, in order to bridge the gap, we propose a Markov random field-based approach to capture dependence relations among interactions, queries, and clicked documents for automatic query expansion  ...  • RM-PF: the traditional relevance model based on pseudo feedback documents only; we reimplement it to expand the original query based on pseudo relevance feedback documents. • RM-MF: a relevance model  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/coin.12154">doi:10.1111/coin.12154</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hrbxmepugbhslo5sl5jqpiyorq">fatcat:hrbxmepugbhslo5sl5jqpiyorq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430020853/http://oro.open.ac.uk/52902/13/52902.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/6b/fa6b40a466653a2510de24540e7146056b861530.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/coin.12154"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An Effective Question Expanding Method for Question Classification in cQA services

Kyoungman Bae, Youngjoong Ko
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6g37zvjwwrhv3dizi6ffue642m" style="color: black;">Proceedings of the 7th Workshop on Ph.D Students - PIKM &#39;14</a> </i> &nbsp;
For pseudo relevant feedback, we first find relevant question-answer pairs related to an input question using the Indri search engine, and then top relevant words are chosen as expanded words.  ...  To solve this problem, we propose the question expanding method by pseudo relevant feedback and automatic answer generation.  ...  The added words are limited only words that occur in relevant questionanswer pairs from the pseudo relevant feedback and this helps us obtain more accurate expanded words.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2663714.2668050">doi:10.1145/2663714.2668050</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cikm/BaeK14.html">dblp:conf/cikm/BaeK14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/colgdz62e5e2bedjgv3udjczda">fatcat:colgdz62e5e2bedjgv3udjczda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808222155/http://web.donga.ac.kr/yjko/papers/ic17.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/92/de92f4662162aac4ea3f2d798331adf5b79de4a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2663714.2668050"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Query Expansion for Arabic Information Retrieval Model: Performance Analysis and Modification

Ayat Elnahaas, Nawal Elfishawy, Mohamed Elsayed, Gamal Atteya, Maha Tolba
<span title="2018-04-11">2018</span> <i title="Egypts Presidential Specialized Council for Education and Scientific Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pzt56tensndsvfde7fkkzbdgjq" style="color: black;">The Egyptian Journal of Language Engineering</a> </i> &nbsp;
In other words, the query is modified by selecting relevant textual keywords for expanding the query and weeding out the non-related textual words.  ...  The second approach modifies and/or expands user query by adding some useful information from the pseudo relevance feedback.  ...  In other words, the query is modified by selecting relevant textual keywords for expanding the query and weeding out the non-related textual words.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21608/ejle.2018.59298">doi:10.21608/ejle.2018.59298</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/krkyerpoy5gjziwa6tgqqmp65i">fatcat:krkyerpoy5gjziwa6tgqqmp65i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320222816/https://ejle.journals.ekb.eg/article_59298_5d600b38fb5c865959e08ce9515975a8.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c4/a0/c4a020d19c340fdba9fc350fccd7e41b3aab4c76.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21608/ejle.2018.59298"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Improving biomedical information retrieval by linear combinations of different query expansion techniques

Ahmed AbdoAziz Ahmed Abdulla, Hongfei Lin, Bo Xu, Santosh Kumar Banbhrani
<span title="">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/n5zrklrhlzhtdorf4rk4rmeo3i" style="color: black;">BMC Bioinformatics</a> </i> &nbsp;
In IR one of the main problems is to determine which documents are relevant and which are not to the user's needs.  ...  IR is related to the representation, storage, and organization of information items, as well as to access.  ...  Acknowledgements This work is partially supported by grant from the Natural Science Foundation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12859-016-1092-8">doi:10.1186/s12859-016-1092-8</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27455377">pmid:27455377</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4965722/">pmcid:PMC4965722</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ab3x524lezdovl7e5fnoadwnvy">fatcat:ab3x524lezdovl7e5fnoadwnvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171009062052/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/148/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjExODYvczEyODU5LTAxNi0xMDkyLTgucGRm.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bd/0c/bd0cd1505b68b827022fbdfae8e3a5d836566b48.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12859-016-1092-8"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965722" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Learning-Based Pseudo-Relevance Feedback for Patent Retrieval [chapter]

Parvaz Mahdabi, Fabio Crestani
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
This is because the quality of initial results in the patent retrieval is poor and therefore estimating a relevance model via PRF often hurts the retrieval performance due to off-topic terms.  ...  Pseudo-relevance feedback (PRF) is an effective approach in Information Retrieval but unfortunately many experiments have shown that PRF is ineffective in patent retrieval.  ...  Acknowledgements Authors would like to thank Information Retrieval Facility (IRF) for the support of this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-31274-8_1">doi:10.1007/978-3-642-31274-8_1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wgdgsdvlabh5dh6b7ri4zaeqty">fatcat:wgdgsdvlabh5dh6b7ri4zaeqty</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130701211422/http://www.inf.usi.ch:80/phd/mahdabi/IRFC-2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d8/19/d819d53e06685f71dc1656ab09851a58878d1515.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-31274-8_1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Effective pseudo-relevance for Microblog retrieval

Khaled Albishre, Yuefeng Li, Yue Xu
<span title="">2017</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nrbqwmcfv5fqlf7iirylnesvlm" style="color: black;">Proceedings of the Australasian Computer Science Week Multiconference on - ACSW &#39;17</a> </i> &nbsp;
Then, after the relevance feedback P lex (w|Q) is estimated as in equation 7, we compute the new relevance feedback model Pexp(w|Q) for the combination of relevance model P lex (w|Q) for the pseudo-relevance  ...  One of the robust models is RM3 [13, 1] , in which the basic idea is to estimate the relevance feedback using relevance models such as query likelihood, BM25.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3014812.3014865">doi:10.1145/3014812.3014865</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acsw/AlbishreLX17.html">dblp:conf/acsw/AlbishreLX17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kgyxhvnbevcbxptnqzeihenbza">fatcat:kgyxhvnbevcbxptnqzeihenbza</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200508002728/https://eprints.qut.edu.au/117380/1/a51-albishre.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b9/ab/b9abaa02f3e7bc8b04057e721a534023cbe9d6b7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3014812.3014865"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Query Expansion based on Central Tendency and PRF for Monolingual Retrieval

Rekha Vaidyanathan, Sujoy Das, Namita Srivastava
<span title="">2016</span> <i title="IGI Global"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/374ajir2lvhdnnrthu2pgndu7u" style="color: black;">International Journal of Information Retrieval Research</a> </i> &nbsp;
Query Expansion is the process of selecting relevant words that are closest in meaning and context to that of the keyword(s) of query.  ...  Words appearing in top 10 relevant document is given a score w.r.t partitions they appear in.  ...  One of the most popular techniques is Pseudo Relevance Feedback, where the user submits a short query and from the initial set of retrieved results, an expanded query is reformulated.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4018/ijirr.2016100103">doi:10.4018/ijirr.2016100103</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ja5az6vqnvevbbxzahm5ocupju">fatcat:ja5az6vqnvevbbxzahm5ocupju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218022752/http://pdfs.semanticscholar.org/08cc/8ce71ae3af4579728390d96ecf444ccecbb7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/08/cc/08cc8ce71ae3af4579728390d96ecf444ccecbb7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4018/ijirr.2016100103"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Bias–variance analysis in estimating true query model for information retrieval

Peng Zhang, Dawei Song, Jun Wang, Yuexian Hou
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
The estimation of query model is an important task in language modeling (LM) approaches to information retrieval (IR).  ...  In this paper, we propose to study this tradeoff from a new perspective, i.e., the bias-variance tradeoff, which is a fundamental theory in statistics.  ...  This work is supported in part by the Chinese National Program on Key Basic Research Project (973 Program, grant No. 2013CB329304,2014CB744604), the Natural Science Foundation of China (grant No. 61272265  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2013.08.004">doi:10.1016/j.ipm.2013.08.004</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4py4jibudrdlxamckcsd53n6te">fatcat:4py4jibudrdlxamckcsd53n6te</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705201746/http://oro.open.ac.uk/38254/1/BV_v7.6.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/20/ef/20efedbe3b0d6e68145e8ef976288ed6870c8034.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2013.08.004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A cluster-based resampling method for pseudo-relevance feedback

Kyung Soon Lee, W. Bruce Croft, James Allan
<span title="">2008</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;08</a> </i> &nbsp;
The resampling approach shows higher relevance density than the baseline relevance model on all collections, resulting in better retrieval accuracy in pseudo-relevance feedback.  ...  Typical pseudo-relevance feedback methods assume the topretrieved documents are relevant and use these pseudo-relevant documents to expand terms.  ...  RELATED WORK Our approach is related to previous work on pseudo-relevance feedback, resampling approaches, and the cluster hypothesis in information retrieval.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1390334.1390376">doi:10.1145/1390334.1390376</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/LeeCA08.html">dblp:conf/sigir/LeeCA08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jxd3gh2ewjgqvmxtpkr5sdyfb4">fatcat:jxd3gh2ewjgqvmxtpkr5sdyfb4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811195200/http://maroo.cs.umass.edu/pdf/IR-654.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d2/dd/d2dd8c2c95f186972fa3742e4d834946e9d0bd80.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1390334.1390376"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Query Expansion Techniques for Information Retrieval: a Survey [article]

Hiteshwar Kumar Azad, Akshay Deepak
<span title="2017-08-01">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
With the ever increasing size of web, relevant information extraction on the Internet with a query formed by a few keywords has become a big challenge.  ...  To overcome this, query expansion (QE) plays a crucial role in improving the Internet searches, where the user's initial query is reformulated to a new query by adding new meaningful terms with similar  ...  Another step in improving the research on relevance model [76] presents a neighborhood relevance model that uses the relevance feedback approaches for recognizing the specialty of entity linking across  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1708.00247v1">arXiv:1708.00247v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/42st2xre5ndejggyo7ighn2yau">fatcat:42st2xre5ndejggyo7ighn2yau</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200825180144/https://arxiv.org/pdf/1708.00247v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/44/26/4426e6c57b2aa6acd9b8f2e7c53ebe2452fb3f31.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1708.00247v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Query Expansion for Sentence Retrieval Using Pseudo Relevance Feedback and Word Embedding [chapter]

Piyush Arora, Jennifer Foster, Gareth J. F. Jones
<span title="">2017</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Two alternative QE approaches: i) pseudo relevance feedback (PRF), using Robertson term selection, and ii) word embeddings (WE) of query words, are explored.  ...  This study investigates the use of query expansion (QE) methods in sentence retrieval for non-factoid queries to address the query-document term mismatch problem.  ...  We thank the reviewers for their feedback and comments. This research is supported by Science Foundation Ireland (SFI) as a part of the ADAPT Centre at Dublin City University (Grant No: 12/CE/I2267).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-65813-1_8">doi:10.1007/978-3-319-65813-1_8</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2cddt2e6gvdqxit3ehltyrtyqu">fatcat:2cddt2e6gvdqxit3ehltyrtyqu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429014746/http://doras.dcu.ie/22805/1/Arora2017_Chapter_QueryExpansionForSentenceRetri.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f0/8b/f08b54849fcd1e03753b8095d91a5f447a3aa660.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-65813-1_8"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A platform for Okapi-based contextual information retrieval

Xiangji Huang, Miao Wen, Aijun An, Yan-Rui Huang
<span title="">2006</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;06</a> </i> &nbsp;
Modules for dual indexes, relevance feedback with blind or machine learning approaches and query expansion with context are integrated into the Okapi system to deal with the contextual information.  ...  We present an extensible java-based platform for contextual retrieval based on the probabilistic information retrieval model.  ...  The machine learning feedback model takes the blind feedback passages from the result processing module, applies machine learning algorithms to select more relevant passages that are not in the blind feedback  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1148170.1148341">doi:10.1145/1148170.1148341</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/HuangWAH06.html">dblp:conf/sigir/HuangWAH06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/leqlslcumbgrlbzgo2jzryhjum">fatcat:leqlslcumbgrlbzgo2jzryhjum</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190217232239/https://static.aminer.org/pdf/20170130/pdfs/sigir/jv6g4g8nymre7r2hd0ibwxom9fxkzfde.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/38/a3/38a307d61af8d2a3372a63aacbfb7861411d3332.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1148170.1148341"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>
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