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Blind Relevance Feedback with Wikipedia: Enterprise Track

Yefei Peng, Ming Mao
2008 Text Retrieval Conference  
In this year's Enterprise track experiment, we focused on testing Blind Relevance Feedback, especially using online Wikipedia as query expansion collection.  ...  We demonstrated that using Wikipedia as query expansion collection returns better infNDCG than not using it.  ...  Wikipedia collection is used as expansion collection. The new query is issued in target collection (CSIRO) again with Blind Relevance Feedback. BRF is used twice here.  ... 
dblp:conf/trec/PengM08 fatcat:wexhcfztkzf3rehrpp7xecbcqq

Overview of the TREC 2008 Enterprise Track

Krisztian Balog, Ian Soboroff, Paul Thomas, Peter Bailey, Nick Craswell, Arjen P. de Vries
2008 Text Retrieval Conference  
The resources included blind feedback from web search engine results, and Wikipedia. (He et al., 2008) CAS used BM25 and language models with blind feedback.  ...  (Wu et al., 2008) Sebir investigated blind relevance feedback using Wikipedia as the expansion collection.  ... 
dblp:conf/trec/BalogS0BCV08 fatcat:pzxgfg3d3bgz5ofnahcu66hqgm

The Wikipedia Image Retrieval Task [chapter]

Theodora Tsikrika, Jana Kludas
2010 ImageCLEF  
The Wikipedia image retrieval task at ImageCLEF provides a test-bed for the system-oriented evaluation of visual information retrieval from a collection of Wikipedia images.  ...  aim is to investigate the effectiveness of retrieval approaches that exploit textual and visual evidence in the context of a large and heterogeneous collection of images that are searched for by users with  ...  track, Thomas Deselaers for invaluable technical support during ImageCLEF 2008, and all the groups that participated in the task and in the relevance assessment process.  ... 
doi:10.1007/978-3-642-15181-1_9 fatcat:gn2lisoma5fhhhfaxqyxc55l6e

Overview of the Wikipedia Retrieval Task at ImageCLEF 2010

Adrian Popescu, Theodora Tsikrika, Jana Kludas
2010 Conference and Labs of the Evaluation Forum  
ImageCLEF's Wikipedia Retrieval task provides a testbed for the system-oriented evaluation of multimedia information retrieval from a collection of Wikipedia images.  ...  The aim is to investigate retrieval approaches in the context of a large and heterogeneous collection of images (similar to those encountered on the Web) that are searched for by users with diverse information  ...  The authors would also like to thank all the groups participating in the relevance assessment process.  ... 
dblp:conf/clef/PopescuTK10 fatcat:zmrqahvcxvhj3mpvtxfixhjvru

Wikipedia Research and Tools: Review and Comments

Finn Årup Nielsen
2012 Social Science Research Network  
I here give an overview of Wikipedia and wiki research and tools. Well over 1,000 reports have been published in the field and there exist dedicated scientific meetings for Wikipedia research.  ...  whom I am writing systematic reviews about Wikipedia research. 14  ...  Torsten Zesch, Felipe Ortega, Piotr Konieczny, Claudia Koltzenburg and James Heilman for pointing to references and tools Thanks also to Chitu Okoli, Mohamad Mehdi, Mostafa Mesgari and Arto Lanamäki with  ... 
doi:10.2139/ssrn.2129874 fatcat:h4znerp2efhn5j5bdi5rl7addi

Critical Point of View: A Wikipedia Reader

Geert Lovink, Nathaniel Tkacz, Joseph M. Reagle, Dan O'Sullivan, Lawrence Liang, Amila Akdag Salah, Cheng Gao, Krzystztof Suchecki, Andrea Scharnhorst, R. Stuart Geiger, Edgar Enyedy, Peter B. Kaufman (+19 others)
2012 Social Science Research Network  
Wikipedia Art, on the other hand, capitalizes on the potential for a feedback loop between Wikipedia's information, and the information that feeds Wikipedia.  ...  Scott Kildall and Nathaniel Stern, Wikipedia Art's initiators, refer to the work's publishcite-transform feedback loop as 'performative citations'.  ...  The Wikipedia community defines reference works as succinct summaries of existing knowledge, a definition with which traditional encyclopedias may agree. But the Wikipedia commu-1.  ... 
doi:10.2139/ssrn.2075015 fatcat:ufngx3eoazbtfe5pgtvovak6q4

The People's Encyclopedia Under the Gaze of the Sages: A Systematic Review of Scholarly Research on Wikipedia

Chitu Okoli, Mohamad Mehdi, Mostafa Mesgari, Finn Årup Nielsen, Arto Lanamäki
2012 Social Science Research Network  
This article presents a systematic review of scholarly research on Wikipedia. We describe our detailed, rigorous methodology for identifying over 450 scholarly studies of Wikipedia.  ...  An appendix features an extensive list of resources useful for Wikipedia researchers.  ...  These include query processing, computing relevance feedback and employing disambiguation techniques using Wikipedia.  ... 
doi:10.2139/ssrn.2021326 fatcat:egbnz5qzcjbfbnzxlz75x4ktz4

Effective focused retrieval by exploiting query context and document structure

Rianne Kaptein
2012 SIGIR Forum  
Again we also consider the option to apply blind relevance feedback in combination with the other feedback methods.  ...  To compare topical feedback with relevance feedback we use odd-numbered topics 800-850 from the terabyte track, which have been used as training data in the TREC relevance feedback track.  ...  Categorieën kunnen gebruikt worden als context om documenten te vinden die niet alleen relevant zijn voor de trefwoorden van zoekvraag, maar ook behoren ook tot een relevante categorie.  ... 
doi:10.1145/2093346.2093366 fatcat:f6n2nplok5f7pd3ijcrghrkg2y

Query modeling for entity search based on terms, categories, and examples

Krisztian Balog, Marc Bron, Maarten De Rijke
2011 ACM Transactions on Information Systems  
ACKNOWLEDGMENTS We are extremely grateful to our anonymous reviewers; their comments and feedback really helped to improve the paper.  ...  The TREC 2005 TREC -2008 Enterprise track ] featured an expert finding task: given a topic, return a ranked list of experts on the topic.  ...  Blind feedback versus no feedback. Figure 10 shows the difference in AP between (M5) and (M5) extended with three types of blind feedback: term-based, categorybased, and a combination.  ... 
doi:10.1145/2037661.2037667 fatcat:gotilqrajfdrtl2wykg72agiia

ReFER: Effective Relevance Feedback for Entity Ranking [chapter]

Tereza Iofciu, Gianluca Demartini, Nick Craswell, Arjen P. de Vries
2011 Lecture Notes in Computer Science  
It employs the Wikipedia category structure, but augments that structure with 'smooth categories' to deal with the sparseness of the raw category information.  ...  Our experiments show the effectiveness of the proposed method, whether applied as a pseudo relevance feedback method or interactively with the user in the loop.  ...  Compared to the contribution of uniquely relevant entities in the pseudo-RFB scenario (see Table 3 ), we find however that blind feedback works better with respect to this aspect.  ... 
doi:10.1007/978-3-642-20161-5_26 fatcat:zy3gshhtx5hkzif4y4ivbeivni

Overview of the WikipediaMM Task at ImageCLEF 2008 [chapter]

Theodora Tsikrika, Jana Kludas
2009 Lecture Notes in Computer Science  
The wikipediaMM task provides a testbed for the systemoriented evaluation of ad-hoc retrieval from a large collection of Wikipedia images.  ...  It became a part of the ImageCLEF evaluation campaign in 2008 with the aim of investigating the use of visual and textual sources in combination for improving the retrieval performance.  ...  The authors would also like to thank Thomas Deselaers for invaluable technical support and all the groups participating in the relevance assessment process.  ... 
doi:10.1007/978-3-642-04447-2_66 fatcat:f6rigt25y5dynef6r3ffjxh3li

Extracting and Annotating Wikipedia Sub-Domains *-Towards a New eScience Community Resource

Gisle Ytrestøl, Dan Flickinger, Stephan Oepen
unpublished
We suggest a simple procedure for the extraction of Wikipedia sub-domains, propose a plain-text (human and machine readable) corpus exchange format , reflect on the interactions of Wikipedia markup and  ...  linguistic analysis, and report initial experimental results in parsing and treebanking a domain-specific subset of Wikipedia content.  ...  It was also apparent that many relevant articles are not (yet) associated with either of these categories.  ... 
fatcat:px5e7762tfgyppi5b3ediwi4sa

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

Hiteshwar Kumar Azad, Akshay Deepak
2017 arXiv   pre-print
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  ...  An approach similar to relevance feedback approach is Pseudo-relevance feedback (or blind feedback, or retrieval feedback).  ... 
arXiv:1708.00247v1 fatcat:42st2xre5ndejggyo7ighn2yau

The Responsive Enterprise: Embracing the Hacker Way

Erik Meijer, Vikram Kapoor
2014 Queue  
Conversely, the bottom five companies, which lost market capitalization in the first half of 2014 (table 2 ), are mostly traditional enterprises in business for decades.  ...  is in the top 20 of the most valuable companies in the S&P 500, putting the 10-year-old software company in the same league as IBM, Oracle, and Coca-Cola. 3 Of the top five fastest-growing companies with  ...  At a meta level, however, the environment in which the enterprise operates will also change over time; hence, the corporate memory needs to be "reset" occasionally since it is not tracking relevant inputs  ... 
doi:10.1145/2685690.2685692 fatcat:32ojfwxdorajlnpyci7fo5tt3u

Data Mining for Big Data

Rashmi Reddy M, Kavitha Juliet
2017 IJARCCE  
With Big data technologies, we will hopefully be able to provide most relevant and most accurate social sensing feedback to better understand our society at real time.  ...  The processes surrounding the way data is collected, handled, utilized and managed by agencies will need to be aligned with all relevant legislative and regulatory instruments with a focus on making the  ...  sources that tell him about biased knowledge about the camel (e.g., one blind man may exchange his feeling about the camel with another blind man, where the exchanged knowledge is inherently biased).  ... 
doi:10.17148/ijarcce.2017.63230 fatcat:ofmc2nd7yzh43dhfov7jmkiy3i
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