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Inferring Answer and Answerer Expertise in Question Answer Community - Couverture souple

Cai, Yuanzhe

 
9783659576263: Inferring Answer and Answerer Expertise in Question Answer Community
Couverture souple
ISBN 10 : 3659576263 ISBN 13 : 9783659576263
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

Search has become ubiquitous mainly because of its usage simplicity. Search has made great strides in making information gathering relatively easy and without a learning curve. Question answering services/communities (termed CQA services or Q/A networks; e.g., Yahoo! Answers, Stack Overflow) have come about in the last decade as yet another way to search. Here the intent is to obtain good/high quality answers (from users with different levels of expertise) for a question when posed, or to retrieve answers from an archived Q/A repository. To make use of these services (and archives) effectively as an alternative to search, it is imperative that we develop a framework including techniques and algorithms for identifying quality of answers as well as the expertise of users answering questions. Finding answer quality is critical for archived data sets for accessing their value as stored repositories to answer questions. Meanwhile, determining the expertise of users is extremely important (and more challenging) for routing queries in real-time which is very important to these Q/A services – both paid and free.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Search has become ubiquitous mainly because of its usage simplicity. Search has made great strides in making information gathering relatively easy and without a learning curve. Question answering services/communities (termed CQA services or Q/A networks; e.g., Yahoo! Answers, Stack Overflow) have come about in the last decade as yet another way to search. Here the intent is to obtain good/high quality answers (from users with different levels of expertise) for a question when posed, or to retrieve answers from an archived Q/A repository. To make use of these services (and archives) effectively as an alternative to search, it is imperative that we develop a framework including techniques and algorithms for identifying quality of answers as well as the expertise of users answering questions. Finding answer quality is critical for archived data sets for accessing their value as stored repositories to answer questions. Meanwhile, determining the expertise of users is extremely important (and more challenging) for routing queries in real-time which is very important to these Q/A services – both paid and free.

Biographie de l'auteur

Yuanzhe Cai received his Bachelor of Engineering degree in Computer Science and Engineering from Xidian university in 2005. He received his Masters of Science degree in Computer Science from Renmin University, in July 2008. He received his Doctor of Philosophy in Computer Science and Engineering from The University of Texas at Arlington in 2014.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659576263
ISBN 13 
9783659576263
Reliure
Broché
Nombre de pages
192
Coordonnées du fabricant
non disponible
Personne responsable
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