Filters








41,593 Hits in 3.1 sec

Probabilistic question recommendation for question answering communities

Mingcheng Qu, Guang Qiu, Xiaofei He, Cheng Zhang, Hao Wu, Jiajun Bu, Chun Chen
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
User-Interactive Question Answering (QA) communities such as Yahoo! Answers are growing in popularity.  ...  In this paper, we adopt the Probabilistic Latent Semantic Analysis (PLSA) model for question recommendation and propose a novel metric to evaluate the performance of our approach.  ...  INTRODUCTION Nowadays, the User-Interactive Question Answering (QA) community has become a popular medium for online information seeking and knowledge sharing. For example, Yahoo!  ... 
doi:10.1145/1526709.1526942 dblp:conf/www/QuQHZWBC09 fatcat:moxkiz3bkfe2pffancivlvqefq

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.  ...  Instead of passively waiting for users to browse and find their questions of interest, an expert recommendation method raises the attention of users to the appropriate questions actively and promptly.  ...  They provide a venue for people to share and obtain knowledge by asking and answering questions, known as community question answering (CQA) [1] .  ... 
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.  ...  Instead of passively waiting for users to browse and find their questions of interest, an expert recommendation method raises the attention of users to the appropriate questions actively and promptly.  ...  They provide a venue for people to share and obtain knowledge by asking and answering questions, known as community question answering (CQA) [1] .  ... 
arXiv:1807.05540v1 fatcat:ezque3rbwnex5gvt2u6sbjqsnu

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  ...  More specifically, the following search queries were used: "Community Question Answering", "CQA", Social Question Answering", "expert recommendation", "question routing" and "expert finding".  ... 
doi:10.1108/ijcs-03-2019-0011 fatcat:5waemn4e3zfu5b4n55f6qxafbu

Dual role model for question recommendation in community question answering

Fei Xu, Zongcheng Ji, Bin Wang
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
Question recommendation that automatically recommends a new question to suitable users to answer is an appealing and challenging problem in the research area of Community Question Answering (CQA).  ...  between the answerer and the question into a unified probabilistic framework.  ...  ACKNOWLEDGMENTS We thank the anonymous reviewers for their useful comments. This work is supported by the National Science Foundation of China under Grant No. 61070111.  ... 
doi:10.1145/2348283.2348387 dblp:conf/sigir/XuJW12 fatcat:utxz3lfw7jhwxkkxvozhruqyrq

Question Recommendation Mechanism under Q&A Community based on LDA Model

Caiyin Wang, Lin Cui, Baosheng Yang, Xiaoyin Wu
2014 Open Cybernetics and Systemics Journal  
Aiming at the questions not answered timely under Q&A community, a kind of questions recommendation method based on LDA (Latent Dirichlet Allocation) topic model is proposed, which fully utilizes personalized  ...  Experimental results show that the proposed questions recommendation method based on LDA not only discoveries the unsolved questions quickly, but also recommends the most suitable answers to users compared  ...  For example, the popular Q&A communities Yahoo!  ... 
doi:10.2174/1874110x01408010645 fatcat:3wqwkiqxuzg45bidwpvgiozhy4

Comprehensive Retrospection of Literature Reported Works of Community Question Answering Systems

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Community question answering CQA) systems are rapidly gaining attention in the society.  ...  Several researchers have actively engaged in improving the theories associated with question answering (QA) systems. This paper reviews the literature reported works on question answering QA systems.  ...  [11] have earlier developed a probabilistic graphical model to assign ranking for a Question-Answering System. An extension to this work, Ko et al.  ... 
doi:10.35940/ijitee.c8769.019320 fatcat:cxn37tzig5bklly3sarl3kilpq

Question Retrieval Based on Probabilistic Latent Semantic Analysis in Q & A Community

Chengfang Tan, Hong Li, Yundong Liu, Zhenggao Pan
2014 Open Cybernetics and Systemics Journal  
With the increasingly popularity of Q & A Community, it has become an important means for people to retrieve question from question library to find the answer.  ...  Similarity calculation is the core issue in Q & A community, and the appropriate calculation method is the key factor that affects the quality of question retrieval.  ...  Q & A community provides the question and answer network platform for the user. At present, the common Q & A communities have Yahoo! Answers, Baidu Knows, Sina Love Asked Knowledge, etc.  ... 
doi:10.2174/1874110x01408011033 fatcat:tqos7m2e6rfh7mud227ht3q2eq

Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering [chapter]

Gianni Costa, Riccardo Ortale
2020 Lecture Notes in Computer Science  
We propose an innovative approach to finding experts for community question answering (CQA).  ...  The idea is to recommend answerers, who are credited the highest expertise under question tags at routing time.  ...  Introduction Expert recommendation [17] enables the timely sharing of high-quality knowledge for community question answering (CQA) [16] .  ... 
doi:10.1007/978-3-030-47426-3_4 fatcat:aiyfg6bjnbczpj6gc2iyz2i4se

Utilizing Non-QA Data to Improve Questions Routing for Users with Low QA Activity in CQA

Ivan Srba, Marek Grznar, Maria Bielikova
2015 Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15  
One option for scaffolding collaboration in CQA systems is a recommendation of new questions to users who are suitable candidates for providing correct answers (so called question routing).  ...  Consequently, we can recommend new questions to a wider part of a community as well as more accurately.  ...  Question Routing Question routing can be characterized as a recommendation task which aims to identify users (experts) who are suitable candidates for providing an answer for a given question.  ... 
doi:10.1145/2808797.2809331 dblp:conf/asunam/SrbaGB15 fatcat:ymuumqjkcnbqrnpvmkxza63dpm

Predictive Microbiology [chapter]

2014 Quantitative Microbial Risk Assessment  
COURSE FORMAT: Class periods will typically be divided into discrete segments, for example: 5-10 minute question and answer session 30-35 minute lecture on syllabus topic 5-10 minute question and summary  ...  Midterm Exam (20%): Midterm exam will consist primarily of short answer questions, but may include multiple choice, and fill-in the blank questions as well.  ...  READINGS Students will be assigned readings for each class session.  ... 
doi:10.1002/9781118910030.ch7 fatcat:yu7dvd4kajfxpglzkulnknnhjm

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 bring the best value out of these knowledge repositories, it is critically important for CQA services to know how to find the right experts, retrieve archived similar questions and recommend best answers  ...  Community Question Answering (CQA) websites, where people share expertise on open platforms, have become large repositories of valuable knowledge.  ...  Recommend Answers The second task we consider is to recommend answers for a given question. Our task is defined as follows.  ... 
doi:10.1145/2505515.2505720 dblp:conf/cikm/YangQGZJSC13 fatcat:4dxcoz7qrjbvzimzmtsnxhaauq

Recommending Posts concerning API Issues in Developer Q&A Sites

Wei Wang, Haroon Malik, Michael W. Godfrey
2015 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories  
answers to specific questions.  ...  To establish a comparison baseline, we introduce two more recommendation approaches: a reputation-based recommender and a random recommender.  ...  The SO community itself is responsible for assuring the quality of the questions and answers: if a question or an answer is considered relevant, thorough, or correct, users "up-vote" it; if not, they "  ... 
doi:10.1109/msr.2015.28 dblp:conf/msr/WangMG15 fatcat:kp3g2w3tjbgdfcdue373ftnz7i

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  
We propose a novel approach based on graph neural network to accurately recommend for each question the users that are highly likely to answer it.  ...  INDEX TERMS Question and answering, question routing, network representation learning.  ...  QUESTION ROUTING Question routing recommends potential answers for each question, which is the focus of this work. This topic has been extensively studied before.  ... 
doi:10.1109/access.2020.2984342 fatcat:z3h3nkswyzeudid6r77n23nlx4

Letter to the Editor

Jakub Bijak, Isabel Alberts, Juha Alho, John Bryant, Thomas Buettner, Jane Falkingham, Jonathan J. Forster, Patrick Gerland, Thomas King, Luca Onorante, Nico Keilman, Anthony O'Hagan (+4 others)
2015 Journal of Official Statistics  
Finally, conditional probabilistic forecasts, assuming that some variables are known, can help answer policy-relevant "what-if" questions.  ...  They also attempt to answer a tautological question -what would happen under certain assumptions -when the real policy-relevant question is: what will happen (Keyfitz 1972; Hand 1994) .  ... 
doi:10.1515/jos-2015-0033 pmid:26949283 pmcid:PMC4776760 fatcat:pvtoa3vb2fg7zd7bjjoyvzlhmq
« Previous Showing results 1 — 15 out of 41,593 results