Filters








66,558 Hits in 4.3 sec

Early Detection of Topical Expertise in Community Question Answering

David van Dijk, Manos Tsagkias, Maarten de Rijke
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
Early detection of topical expertise in community question answering van Dijk, D.V.; Tsagkias, Manos; de Rijke, Maarten ABSTRACT We focus on detecting potential topical experts in community question answering  ...  Results on data from Stack Overflow demonstrate the utility of adding behavioral and timeaware features to state-of-the-art method with a net improvement in accuracy of 26% for very early detection of  ...  CONCLUSIONS We addressed the task of early detection of topical expertise.  ... 
doi:10.1145/2766462.2767840 dblp:conf/sigir/DijkTR15 fatcat:lud5kovdlvgclboz5fscwprzfi

Expert recommendation in community question answering: a review and future direction

Zhengfa Yang, Qian Liu, Baowen Sun, Xin Zhao
2019 International Journal of Crowd Science  
Purpose This paper aims to make it convenient for those who have only just begun their research into Community Question Answering (CQA) expert recommendation, and for those who are already concerned with  ...  Design/methodology/approach In this paper, keywords such as "CQA", "Social Question Answering", "expert recommendation", "question routing" and "expert finding" are used to search major digital libraries  ...  Early expert detection Detecting topical expertise is a well-studied problem, which relates to expertise finding and retrieval under the premise that the historical profile of users and content is available  ... 
doi:10.1108/ijcs-03-2019-0011 fatcat:5waemn4e3zfu5b4n55f6qxafbu

Overlapping community detection and temporal analysis on Q&A sites

Zide Meng, Fabien Gandon, Catherine Faron Zucker
2017 Web Intelligence: an international journal  
in the corresponding topic and has the expertise needed to answer it.  ...  However, in certain kinds of online communities such as question-and-answer (Q&A) sites or forums, people interact based on common topics of interest, rather than an explicit relationship network.  ...  We thank the ANR-12-CORD-0026 Ocktopus project grant for the support of this research.  ... 
doi:10.3233/web-170356 fatcat:l5dgv2famrh7nh6xigvuww2pry

Joint Model of Topics, Expertises, Activities and Trends for Question Answering Web Applications

Zide Meng, Fabien Gandon, Catherine Faron Zucker
2016 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)  
model of topics, expertises, activities and trends for question answering Web applications. 2016 IEEE/WIC/ACM International ABSTRACT Users in question-answer sites generate huge amounts of high quality  ...  These temporal variations remained unexplored in question-answer sites while detecting them enables us to improve tasks such as: question routing, expert recommending and community life-cycle management  ...  We thank the ANR-12-CORD-0026 Ocktopus project grant for the support of this research.  ... 
doi:10.1109/wi.2016.0049 dblp:conf/webi/MengGF16 fatcat:noetinj2hvb45o4wcgx6dnkrvq

Belief Temporal Analysis of Expert Users: Case Study Stack Overflow [chapter]

Dorra Attiaoui, Arnaud Martin, Boutheina Ben Yaghlane
2017 Lecture Notes in Computer Science  
Question Answering communities have known a large expansion over the last few years. Reliable people sharing their knowledge are not that numerous.  ...  The analysis allows us to study the behavior of experts and non expert users over time spent in the community.  ...  Potential experts can be detected since the early few months of their entrance to the community. In future works, we will search to study the expertise of users based on their topical interests.  ... 
doi:10.1007/978-3-319-64283-3_27 fatcat:sp5no24ijbhirkwdwggaszi25q

Belief Measure of Expertise for Experts Detection in Question Answering Communities: case study Stack Overflow

Dorra Attiaoui, Arnaud Martin, Boutheina Ben Yaghlane
2017 Procedia Computer Science  
Online Question Answering Communities (Q& A C) provide a valuable amount of information in several topics. The major challenge with Q& A C is the detection of the authoritative users.  ...  In this paper, we propose a belief measure of expertise allowing us to detect users with the highest degree of expertise based on their attributes.  ...  In 9 , authors proposed an early detection of topical expertise based on the attributes of users and mainly the number of accepted answers.  ... 
doi:10.1016/j.procs.2017.08.099 fatcat:hmktplaivrgdzhbfgdor4zzlhm

A Survey on Expert Recommendation in Community Question Answering

Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
2018 Journal of Computer Science and Technology  
Community question answering (CQA) represents the type of Web applications where people can exchange knowledge via asking and answering questions.  ...  On the one hand, a requester might experience many low-quality answers without receiving a quality response in a brief time; on the other hand, an answerer might face numerous new questions without being  ...  Despite the significance of early expert detection issue, the markers that reflect the expertise of an ordinary user (e.g., number of answers and number of best answers) are not that strong for a newly  ... 
doi:10.1007/s11390-018-1845-0 fatcat:zedffohznfeqxetyodegdj2gpi

A Survey on Expert Recommendation in Community Question Answering [article]

Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
2018 arXiv   pre-print
Community question answering (CQA) represents the type of Web applications where people can exchange knowledge via asking and answering questions.  ...  On the one hand, a requester might experience many low-quality answers without receiving a quality response in a brief time, on the other hand, an answerer might face numerous new questions without being  ...  Despite the significance of early expert detection issue, the markers that reflect the expertise of an ordinary user (e.g., number of answers and number of best answers) are not that strong for a newly  ... 
arXiv:1807.05540v1 fatcat:ezque3rbwnex5gvt2u6sbjqsnu

CrowdSTAR: A Social Task Routing Framework for Online Communities [chapter]

Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas
2015 Lecture Notes in Computer Science  
CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability  ...  We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.  ...  Further studies in the context of community question answering show that routing questions to Q&A communities increases the users' satisfaction [10, 11] .  ... 
doi:10.1007/978-3-319-19890-3_15 fatcat:aozz3cgdondl7gg2kexjvey4uy

On dynamicity of expert finding in community question answering

Mahmood Neshati, Zohreh Fallahnejad, Hamid Beigy
2017 Information Processing & Management  
Community Question Answering is one of the valuable information resources which provide users with a platform to share their knowledge.  ...  Finding potential experts in CQA is beneficial to several problems like low participation rate of the users, long waiting time to receive answers and to the low quality of answers.  ...  In order to increase the quality of CQA services, some recent researches have focused on the detection of potential experts in the early stage of their lifecycle.  ... 
doi:10.1016/j.ipm.2017.04.002 fatcat:uijfwhjuingv7lrgqd2pgueiva

CrowdSTAR: A Social Task Routing Framework for Online Communities [article]

Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas
2014 arXiv   pre-print
CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability  ...  We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.  ...  The preference for experts justifies the need for expertise detection before asking questions in Q&A communities.  ... 
arXiv:1407.6714v1 fatcat:iitjd7qs4vdmxbptg55h3lqiki

Competition-based networks for expert finding

Çiğdem Aslay, Neil O'Hare, Luca Maria Aiello, Alejandro Jaimes
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
Finding experts in question answering platforms has important applications, such as question routing or identification of best answers.  ...  We also analyse question answering forums in Yahoo!  ...  Industrial Technology under the CENIT program, project CEN-20101037 "Social Media", and by Grant TIN2009-14560-C03-01 of the Ministry of Science and Innovation of Spain.  ... 
doi:10.1145/2484028.2484183 dblp:conf/sigir/AslayOAJ13 fatcat:6jlvvj5zrndu5eybo7putszrji

Analysis of the reputation system and user contributions on a question answering website

Dana Movshovitz-Attias, Yair Movshovitz-Attias, Peter Steenkiste, Christos Faloutsos
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
Question answering (Q&A) communities have been gaining popularity in the past few years.  ...  We present a study of the popular Q&A website Stack-Overflow (SO), in which users ask and answer questions about software development, algorithms, math and other technical topics.  ...  ACKNOWLEDGMENT The authors would like to thank StackOverflow for providing the data used in this paper.  ... 
doi:10.1145/2492517.2500242 dblp:conf/asunam/Movshovitz-AttiasMSF13 fatcat:7jf6z6fnhzfz3du7aewgk2q6pe

Identifying Experts in Question & Answer Portals: A Case Study on Data Science Competencies in Reddit [article]

Sofia Strukova, José A. Ruipérez-Valiente, Félix Gómez Mármol
2022 arXiv   pre-print
The irreplaceable key to the triumph of Question & Answer (Q&A) platforms is their users providing high-quality answers to the challenging questions posted across various topics of interest.  ...  Moreover, we present different types of users, which can be helpful to detect various types of users in the future.  ...  of the Region of Murcia, Spain.  ... 
arXiv:2204.04098v1 fatcat:fyism77245glxhzezelj4fpfgq

Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering

Aditya Pal, F. Maxwell Harper, Joseph A. Konstan
2012 ACM Transactions on Information Systems  
Community Question Answering (CQA) services enable their users to exchange knowledge in the form of questions and answers.  ...  In particular, we propose a probabilistic model that captures the selection preferences of users based on the questions they choose for answering.  ...  Tables VII and VIII show the model performance in detecting experts early on.  ... 
doi:10.1145/2180868.2180872 fatcat:rtesorfgyjgzrm6ozstxriyffi
« Previous Showing results 1 — 15 out of 66,558 results