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Matching resumes and jobs based on relevance models

Xing Yi, James Allan, W. Bruce Croft
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
We compare standard approaches to Structured Relevance Models (SRM), an extension of relevance-based language model for modeling and retrieving semi-structured documents.  ...  We investigate the difficult problem of matching semi-structured resumes and jobs in a large scale real-world collection.  ...  For some jobs, the relevance-based approaches find more than 5 matched resumes in the top 10 listed (i.e., P@10 is more than a half).  ... 
doi:10.1145/1277741.1277920 dblp:conf/sigir/YiAC07 fatcat:kz6p5mv2hjahbk6ucs6hj2uq44

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  ...  Traditional information retrieval (IR) systems only allow users access to documents that match their current query and, therefore, users can only give relevance feedback on matching documents (or those  ...  The query column is further split into a list of terms and their weights, while the other two columns are split into a list of terms, a list of weights for those terms in that document and a list of weights  ... 
doi:10.1145/248625.248650 fatcat:qy5kzxizl5a65gnb3rjdv4aq5e

Hard Queries can be Addressed with Query Splitting Plus Stepping Stones and Pathways

Xiaoyan Yu, Fernando Adrian Das Neves, Edward A. Fox
2005 IEEE Data Engineering Bulletin  
A key finding of the Reliable Information Access Workshop of 2003 was that in collections like those used for TREC 6-8, there are a number of hard queries for which no current search engine can return  ...  However, since beginning with a single information need is a more typical initial situation, we have extended the SSP research by exploring query splitting, especially as might apply to handling hard queries  ...  Thus, we make use of the relevance judgment information available in TREC, and evaluate the three query splitting approaches using a relevance × rank matrix.  ... 
dblp:journals/debu/YuDF05 fatcat:sjd5ghnrojc5tnsk4zfc3nyxwm

Inter-media Pseudo-relevance Feedback Application to ImageCLEF 2006 Photo Retrieval [chapter]

Nicolas Maillot, Jean-Pierre Chevallet, Joo Hwee Lim
2007 Lecture Notes in Computer Science  
We show in particular how inter-media re-ranking and pseudo-relevance feedback have been used for producing the results. We have also tested Latent Semantic Analysis (LSA) approach on visual runs.  ...  This paper provides a description of the way results has been produced. The text/image database used is IAPR [1]. We have tested a cooperative use of a text retrieval and an image retrieval engine.  ...  If the location is not found in WordNet, then the location list is used. We have used this information to split the query and force the geographic information matching.  ... 
doi:10.1007/978-3-540-74999-8_92 fatcat:wu3wfpzjcjevpafind6lntsqvi

Eurospider at CLEF 2002 [chapter]

Martin Braschler, Anne Göhring, Peter Schäuble
2003 Lecture Notes in Computer Science  
In this paper, we describe the setup of our system, the characteristics of our experiments, and give a first analysis of some of the results.  ...  For the CLEF 2002 campaign, Eurospider participated in the multilingual and German monolingual tasks. Our main focus was on trying new merging strategies for our multilingual experiments.  ...  Acknowledgements We thank Jacques Savoy from Université de Neuchâtel for providing us with his runs that we used for merging in the experiment labeled "EAN2MDF4".  ... 
doi:10.1007/978-3-540-45237-9_13 fatcat:3vanxs5sxvcb7apbzs2jmn43ty

Synchronous Collaborative Information Retrieval with Relevance Feedback

Colum Foley, Alan F. Smeaton, Hyowon Lee
2006 2006 International Conference on Collaborative Computing: Networking, Applications and Worksharing  
THE INFORMATION RETRIEVAL PROCESS Feedback, a common Information Retrieval process, to enable Information Retrieval (IR) is concered with the developthe transfer of knowledge across collaborators during  ...  Today most users' interactions with Information combine Relevance Judgements from multiple searchers into Retrieval systems are through an internet search engine like a coherent model for Synchronous Collaborative  ...  In this paper we propose a Synchronous Collaborative Relevance Feedback is a process by which a searcher can Information Retrieval environment in which multiple users indicate the relevance of a search  ... 
doi:10.1109/colcom.2006.361855 dblp:conf/colcom/FoleySL06 fatcat:njky4n6muzgtllretnyivmjdoy

User Relevance Feedback in Semantic Information Retrieval

Antonio Picariello, Antonio M. Rinaldi
2007 International Journal of Intelligent Information Technologies  
In this paper we present a technique based on relevance feedback to improve the accuracy in an ontology based information retrieval system.  ...  The user dimension is a crucial component in the information retrieval process and for this reason it must be taken into account in planning and technique implementation in information retrieval systems  ...  In White, Ruthven & Jose (2002) a system for relevance feedback in Web retrieval is presented. The authors follow two types of approaches based on explicit and implicit feedback.  ... 
doi:10.4018/jiit.2007040103 fatcat:gjx7adh445emflbpbp5svikazi

Query-Performance Prediction Using Minimal Relevance Feedback

Olga Butman, Anna Shtok, Oren Kurland, David Carmel
2013 Proceedings of the 2013 Conference on the Theory of Information Retrieval - ICTIR '13  
Departing from the zero-feedback approach, in this paper we show that relevance feedback for even very few top ranked documents can be exploited to dramatically improve prediction quality.  ...  Specifically, applying state-of-theart zero-feedback-based predictors to only a very few relevant documents, rather than to the entire result list as originally designed, substantially improves prediction  ...  This paper is based on work supported in part by the Israel Science Foundation under grant no. 433/12, by a Google faculty research award, and by an IBM Ph.D. fellowship.  ... 
doi:10.1145/2499178.2499201 dblp:conf/ictir/ButmanSKC13 fatcat:g7bbui2ehzau7map53oaexxx7e

Fine Grained Access Control on Information Retrieval with Collaborative Fusion and Active Feedback

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In our earlier work, collaborative fusion guided by active feedback is proposed for information retrieval in enterprise environment.  ...  Enterprise information retrieval is quite challenging than web based information retrieval due to retrieval from heterogeneous distributed data sources and need for higher accuracy in retrieval [17].  ...  In this work, a fine grained access control on Collaborative fusion active feedback information retrieval is proposed.  ... 
doi:10.35940/ijitee.j9790.0981119 fatcat:pxlb4cqbmnauhnsumljyam5bj4

Semantic User Modelling for Personal News Video Retrieval [chapter]

Frank Hopfgartner, Joemon M. Jose
2010 Lecture Notes in Computer Science  
In this work we introduce a semantic based user modeling technique to capture the users' evolving information needs.  ...  The system monitors user interaction with its interface and uses this information for capturing their evolving interests in the news.  ...  In this paper, we introduce a semantic user profiling approach for news video retrieval, which exploits a generic ontology to put news stories into a context.  ... 
doi:10.1007/978-3-642-11301-7_35 fatcat:jrynz2i4rbgxbchuktdr4h36fu

New Collection Announcement

Ivan Habernal, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan, Iryna Gurevych
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
All sentences in the relevant documents were judged for relevance.  ...  Focused retrieval (a.k.a., passage retrieval) is important at its own right and as an intermediate step in question answering systems. We present a new Web-based collection for focused retrieval.  ...  For each query, a document list was retrieved using a highly effective learning-to-rank method. All sentences in documents in the list were judged for relevance using crowdsourcing.  ... 
doi:10.1145/2911451.2914682 dblp:conf/sigir/HabernalSRSKRBG16 fatcat:fnlbrefomzbehkhcntipmtvmau

Sub-Word Indexing and Blind Relevance Feedback for English, Bengali, Hindi, and Marathi IR

Johannes Leveling, Gareth J. F. Jones
2010 ACM Transactions on Asian Language Information Processing  
The Forum for Information Retrieval Evaluation (FIRE) provides document collections, topics, and relevance assessments for information retrieval (IR) experiments on Indian languages.  ...  The corresponding retrieval experiments show that relevance feedback on sub-words benefits from selecting a larger number of index terms in comparison with retrieval on word forms.  ...  The authors are grateful to the reviewers for providing immensely useful feedback and suggestions.  ... 
doi:10.1145/1838745.1838749 fatcat:73ab5osnhfbw7mvcn5draecodu

UNED-UV @ Retrieving Diverse Social Images Task

Ángel Castellanos, Xaro Benavent Garcia, Ana García-Serrano, Esther de Ves Cuenca
2016 MediaEval Benchmarking Initiative for Multimedia Evaluation  
Several Local Logistic Regression models, which use the visual low-level features, estimate the relevance probability for all the images in the dataset.  ...  This paper details the participation of the UNED-UV group at the MediaEval 2016 Retrieving Diverse Social Images Task using a multimodal approach.  ...  It has extensively been proven that the visual information has a great impact in the information retrieval systems [12] .  ... 
dblp:conf/mediaeval/GonzalezGGC16 fatcat:sg6tmxu74bc6flormfm5gltpwm

Zero-Example Event Search using MultiModal Pseudo Relevance Feedback

Lu Jiang, Teruko Mitamura, Shoou-I Yu, Alexander G. Hauptmann
2014 Proceedings of International Conference on Multimedia Retrieval - ICMR '14  
Pseudo Relevance Feedback has shown great potential in retrieval tasks, but previous works are limited to unimodal tasks with only a single ranked list.  ...  We propose a novel method MultiModal Pseudo Relevance Feedback (MMPRF) for event search in video, which requires no search examples from the user.  ...  Since a document's true relevance judgment is unavailable, the top-ranked and bottom-ranked documents in the retrieved list are used to approximate the relevant and irrelevant documents.  ... 
doi:10.1145/2578726.2578764 dblp:conf/mir/JiangMYH14 fatcat:4rrjs6y7cbfsfcjvjluvugv7sa

Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval

Xiangji Huang, Yan Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon
2006 IEEE International Conference on Data Mining. Proceedings  
from the blind feedback of a retrieval system.  ...  In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of labeled passages obtained  ...  Acknowledgments This study was supported by a research grant from the Natural Sciences and Engineering Research Council (NSERC) of Canada.  ... 
doi:10.1109/icdm.2006.22 dblp:conf/icdm/HuangHWALP06 fatcat:h6ai6ctxurfjplldb6fcvxpo3y
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