Filters








10 Hits in 3.1 sec

CQArank

Liu Yang, Minghui Qiu, Swapna Gottipati, Feida Zhu, Jing Jiang, Huiping Sun, Zhong Chen
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
To tackle this cluster of closely related problems in a principled approach, we proposed Topic Expertise Model (TEM), a novel probabilistic generative model with GMM hybrid, to jointly model topics and  ...  Leveraging the question answering history based on long-term community reviews and voting, our method could find experts with both similar topical preference and high topical expertise.  ...  CONCLUSION AND FUTURE WORK In this paper, we proposed Topic Expertise Model to jointly model topics and expertise in CQA services.  ... 
doi:10.1145/2505515.2505720 dblp:conf/cikm/YangQGZJSC13 fatcat:4dxcoz7qrjbvzimzmtsnxhaauq

ColdRoute: effective routing of cold questions in stack exchange sites

Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy
2018 Data mining and knowledge discovery  
Routing questions in Community Question Answer services (CQAs) such as Stack Exchange sites is a well-studied problem.  ...  Specifically, we use Factorization Machines on the one-hot encoding of critical features such as question tags and compare our approach to well-studied techniques such as CQARank and semantic matching  ...  Code and Data: https://github.com/zhenv5/ColdRoute.  ... 
doi:10.1007/s10618-018-0577-7 fatcat:lp4v52nw2ngfxnikiqhuo3zd7i

FaitCrowd

Fenglong Ma, Jiawei Han, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
FaitCrowd jointly models the process of generating question content and sources' provided answers in a probabilistic model to estimate both topical expertise and true answers simultaneously.  ...  expertise from question content and collected answers.  ...  For the estimation of topic-level expertise in community-based question answering tasks, previous work focused on learning latent topics and topic-level user expertise. Guo et. al.  ... 
doi:10.1145/2783258.2783314 dblp:conf/kdd/MaLLQGZSZJH15 fatcat:vm2d6l4am5h7xedinlgendhhzm

CPDScorer: Modeling and Evaluating Developer Programming Ability across Software Communities

Weizhi Huang, Wenkai Mo, Beijun Shen, Yu Yang, Ning Li
2016 Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering  
In this paper, we propose CPDScorer, a novel approach to modeling and scoring the programming ability of developer through mining heterogeneous information from both Community Question Answering (CQA)  ...  CPDScorer analyzes the answers posted in CQA sites and evaluates the projects submitted in OSS communities to assign expertise scores to developers, considering both the quantitative and qualitative factors  ...  Liu et al. proposed CQARank to model each user's ability as expertise scores under various topics by combining textual content learning with link analysis in StackOverflow [1] .  ... 
doi:10.18293/seke2016-012 dblp:conf/seke/HuangMSYL16 fatcat:vpk5fdevrrcypeyxc5zrfymsm4

BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer [article]

N. Nikzad-Khasmakhi, M. A. Balafar, M.Reza Feizi-Derakhshi, Cina Motamed
2020 arXiv   pre-print
This multimodal approach can be used in both the academic community and the community question answering.  ...  The objective of an expert recommendation system is to trace a set of candidates' expertise and preferences, recognize their expertise patterns, and identify experts.  ...  However, in Community Question Answering (CQA), the main goal is to find the users with expertise and willingness to answer the given questions in terms of the content of the question asked and the answered  ... 
arXiv:2007.07229v1 fatcat:pknabu6xqrfqndyp6dsmkd2gye

Helping the ineloquent farmers: Finding experts for questions with limited text in agricultural Q&A Communities

Xiaoxue Shen, Adele Lu Jia, Siqi Shen, Yong Dou
2020 IEEE Access  
To solve this problem, in this article, we conduct an extensive measurement on Farm-Doctor, which consists of over 690 thousand questions and over 3 million answers, and we model Farm-Doctor as a heterogeneous  ...  As in many other Q&A communities, the key design issue is to find experts to provide timely and suitable answers.  ...  They also proposed CQArank model that combines user topical expertise estimation and user authority derived from link analysis to find experts with both similar topical preference and high topical expertise  ... 
doi:10.1109/access.2020.2984342 fatcat:z3h3nkswyzeudid6r77n23nlx4

CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums [chapter]

Alex Morales, Kanika Narang, Hari Sundaram, Chengxiang Zhai
2020 Lecture Notes in Computer Science  
We apply our latent trustworthy comment for comment ranking for three diverse communities in Reddit and show consistent improvement over non-aspect based approaches.  ...  Truth discovery models estimate source reliability and infer information trustworthiness simultaneously in a mutual reinforcement manner, and can be used to distinguish trustworthy comments with no supervision  ...  CQARank leverages voting information as well as user history and estimates user interests and expertise on different topics [25] . Barron-Cedeno et al.  ... 
doi:10.1007/978-3-030-47426-3_46 fatcat:mzxmww745ja6vfrwilrjo6wwou

Effective and Efficient Approaches to Retrieving and Using Expertise in Social Media

Reyyan Yeniterzi
2016 SIGIR Forum  
In addition to their professional use, people have been using these sites in their personal lives for information acquisition purposes, such as community question answering sites for their questions.  ...  This proposed system is applied to two data collections, an intra-organizational blog data and a popular community question answering site's data, for three expertise estimation related tasks: identification  ...  [98] proposed a probabilistic generative model, called the Topic Expertise Model (TEM), which jointly models topics and expertise.  ... 
doi:10.1145/2888422.2888450 fatcat:qcksnx6k6rgvdnjw3ghhrdgi54

Scientific Knowledge Communication in Online Q&A Communities: Linguistic Devices as a Tool to Increase the Popularity and Perceived Professionalism of Knowledge Contributions

Yicheng Zhang, Huazhong University of Science and Technology, China, Tian Lu, Chee Wei Phang, Chenghong Zhang, Carnegie Mellon University, USA, / Fudan University, China, University of Nottingham – Ningbo, China, Fudan University, China
2019 Journal of the AIS  
With the popularity of question-and-answer (Q&A) communities, widespread dissemination of scientific knowledge has become more viable than ever before.  ...  perceived professionalism and the popularity of contributions in Q&A communities.  ...  CQArank: Jointly model topics and expertise in community question answering. Proceedings of the ACM International Conference on Information & Knowledge Management (pp.99-108).  ... 
doi:10.17705/1jais.00563 fatcat:6zxmnrp5arhsllmmoz7nrfiqn4

Intelligent Question and Answering in Software Q&A Community

ZHIPENG GAO
2022
This Ph.D. thesis focuses on the open issue of "answer hungry" problem in software QA community, we present three different approaches to improve question titles, recommend best answers and search code  ...  solutions in SQA sites.  ...  Acknowledgements First, I would like to express my sincere gratitude and appreciation to my supervisors: Prof. John  ... 
doi:10.26180/19373195.v1 fatcat:mr2ysrksvbhwpnasqjoz4ne56u