Results 1 - 10 of 1,049

Early Detection of Topical Expertise in Community Question Answering

by David Van Dijk , Manos Tsagkias
"... ABSTRACT We focus on detecting potential topical experts in community question answering platforms early on in their lifecycle. We use a semisupervised machine learning approach. We extract three types of feature: (i) textual, (ii) behavioral, and (iii) time-aware, which we use to predict whether a ..."
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ABSTRACT We focus on detecting potential topical experts in community question answering platforms early on in their lifecycle. We use a semisupervised machine learning approach. We extract three types of feature: (i) textual, (ii) behavioral, and (iii) time-aware, which we use to predict whether

It’s not in their tweets: Modeling topical expertise of twitter users

by Claudia Wagner, Vera Liao, Peter Pirolli, Les Nelson, Markus Strohmaier - In SocialCom/PASSAT , 2012
"... Abstract—One of the key challenges for users of social media is judging the topical expertise of other users in order to select trustful information sources about specific topics and to judge credibility of content produced by others. In this paper, we explore the usefulness of different types of us ..."
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Abstract—One of the key challenges for users of social media is judging the topical expertise of other users in order to select trustful information sources about specific topics and to judge credibility of content produced by others. In this paper, we explore the usefulness of different types

Expertise identification using email communications

by Christopher S. Campbell, Paul P. Maglio, Alex Cozzi, Byron Dom - In CIKM ’03: Proceedings of the twelfth international conference on Information and knowledge management , 2003
"... A common method for finding information in an organization is to use social networks—ask people, following referrals until someone with the right information is found. Another way is to automatically mine documents to determine who knows what. Email documents seem particularly well suited to this ta ..."
Abstract - Cited by 124 (0 self) - Add to MetaCart
to this task of “expertise location”, as people routinely communicate what they know. Moreover, because people explicitly direct email to one another, social networks are likely to be contained in the patterns of communication. Can these patterns be used to discover experts on particular topics

Stress, coping and social support processes: Where are we? What next?

by Peggy A Thoits - Journal of Health and Social Behavior, , 1995
"... JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about J ..."
Abstract - Cited by 259 (1 self) - Add to MetaCart
. Qualitative comparative analysis, optimal matching analysis, and event-structure analysis are new techniques which may help advance research in these broad topic areas. To enhance the effectiveness of coping and social support interventions, intervening mechanisms need to be better understood. Nevertheless

Topic

by Of Alzheimer's Disease, Université De Bordeaux
"... Detection of Alzheimer's disease at the first stages of the pathology is an important task to accelerate the development of new therapies and improve treatment. However, the early detection of this pathology is complex because the associated anatomical changes are very subtle. Recently, we deve ..."
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will benefit from the expertise in image processing of the LaBRI (Computer science laboratory of Bordeaux) and from the clinical expertise on Alzheimer’s disease of the Hospital of Bordeaux.

Expertise retrieval

by Krisztian Balog, Phill Jenkins, Dave Pawson, William Loughborough, Phill Jenkins, Dave Pawson, William Loughborough - Foundations and Trends in Information Retrieval , 2012
"... In this talk • Putting these all into practice • Two main tasks: finding and profiling entities • Several applications (case studies) This talk is about semantic search, shallow semantic search: we combined IR, IE, SSD to search for entities, to profile entities, to determine stakeholders, relations ..."
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, relations between them... Two main tasks • Entity finding • Retrieving entities in a particular context • Which computer scientists in the Netherlands work on topic X? • Entity profiling • Retrieving a context for a given entity • “Context ” is domain dependent

Expertise Mining

by Georgeta Bordea, Paul Buitelaar
"... Abstract. In this paper we present our approach for expertise mining, addressing several research problems such as expertise topic extraction, expert finding and expert profiling. We propose a hybrid solution inspired by different research fields such as expert finding, competency manage-ment, termi ..."
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Abstract. In this paper we present our approach for expertise mining, addressing several research problems such as expertise topic extraction, expert finding and expert profiling. We propose a hybrid solution inspired by different research fields such as expert finding, competency manage-ment

Collaborative tagging and expertise in the enterprise

by Ajita John, Doree D. Seligmann - IN PROCEEDINGS OF COLLABORATIVE WEB TAGGING WORKSHOP HELD IN CONJUNCTION WITH WWW 2006 , 2006
"... Enterprise communication applications rely on automated reasoning about factors such as expertise for connecting people. Quantifying expertise is necessary for such applications because of the time constraints imposed by communications routing. This paper discusses the potential for collaborative ta ..."
Abstract - Cited by 28 (0 self) - Add to MetaCart
tagging in the enterprise and how it enables the formation of social networks around tags or topics. These social networks are reflective of the interests and expertise of users contributing to the tag. The tagging activity of a user contributes to the expertise of the user and influences the expertise

ArnetMiner: Extraction and Mining of Academic Social Networks

by Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, Zhong Su
"... This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting researcher profiles automatically from the Web; 2) Integrating the publication data into the network from existing digita ..."
Abstract - Cited by 203 (46 self) - Add to MetaCart
with the name ambiguity problem. Furthermore, we propose a unified modeling approach to simultaneously model topical aspects of papers, authors, and publication venues. Search services such as expertise search and people association search have been provided based on the modeling results. In this paper, we

A: Expertise modeling for matching papers with reviewers

by David Mimno, Andrew Mccallum - Proceedings of the 13th ACM SIGKDD
"... An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate several measures of the association between an author in an existing collection of research papers and a previously unseen do ..."
Abstract - Cited by 54 (2 self) - Add to MetaCart
An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate several measures of the association between an author in an existing collection of research papers and a previously unseen
Results 1 - 10 of 1,049