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Model for Voter Scoring and Best Answer Selection in Community Q&A Services

Chong Tong Lee, Eduarda Mendes Rodrigues, Gabriella Kazai, Nataša Milic-Frayling, Aleksandar Ignjatovic
2009 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology  
It uses the voter scores to aggregate the votes and determine the best answer.  ...  In order to encourage quality contributions, community members are asked to nominate the 'best' among the answers provided to a question.  ...  VOTER SCORING AND BEST ANSWERS In this section we formulate the problem and define a mathematical model for the voter score. A.  ... 
doi:10.1109/wi-iat.2009.23 dblp:conf/webi/LeeRKMI09 fatcat:k5blpwhya5gilizsfcmquy76zy

Development of a Best Answer Recommendation Model in a Community Question Answering (CQA) System

Rotimi Olaosebikan, Akintoba Emmanuel Akinwonmi, Bolanle Adefowoke Ojokoh, Oladunni Abosede Daramola, Oladele Stephen Adeola
2021 Intelligent Information Management  
In this work, a best answer recommendation model is proposed for a Question Answering (QA) system. A Community Question Answering System was subsequently developed based on the model.  ...  The system eliminated longer waiting time faced by askers in a community question answering system. The developed system can be used for research and learning purposes.  ...  For a question q with a voter, i v making a choice of his answer i a , on question q Q , the voter score, i r is obtained as in Equation (1) : { }{ } { } [ ] : 1 ,1 i q i j i i q Q k v V r a a r i V  ... 
doi:10.4236/iim.2021.133010 fatcat:vmhptvw2mnay7m54nlnpa7gs64

Predicting information seeker satisfaction in community question answering

Yandong Liu, Jiang Bian, Eugene Agichtein
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
We present a general prediction model, and develop a variety of content, structure, and community-focused features for this task.  ...  Our models and predictions could be useful for a variety of applications such as user intent inference, answer ranking, interface design, and query suggestion and routing.  ...  Answers team for allowing us extended use of the API, the Emory College Seed Fund for partially supporting this research, and the anonymous reviewers for valuable suggestions.  ... 
doi:10.1145/1390334.1390417 dblp:conf/sigir/LiuBA08 fatcat:lgk54rinkngftit3advpl5v4ky

Applying Hidden Markov Models to Voting Advice Applications

Marilena Agathokleous, Nicolas Tsapatsoulis
2016 EPJ Data Science  
In particular, we try to model party-supporters using HMMs and then use these models to recommend each VAA user the party whose model best fits his/her answer sequence of the VAA policy statements.  ...  As a result, opting from the various answer choices in each policy statement might be related with selections in previous and subsequent policy statements.  ...  Acknowledgements The work presented in this paper is an outcome of collaborations established through the framework of the EC project "NOTRE: Network for sOcial compuTing ResEarch" (  ... 
doi:10.1140/epjds/s13688-016-0095-z fatcat:tjxxljcnovg43drw4en65fcn2q

Q-Methodology Explained by Comparing Q-Sort Survey with Conventional R-Sample Survey and Relating Factor Analysis Described

Wim Moree
2017 Civil Engineering Research Journal  
This article is intended to concisely describe the difference between the use of the conventional R-sample survey and Q-sort survey on the basis of a single variable example and to describe the meaning  ...  This contrary to the use of conventional R-sample survey which is not suitable for measuring subjective opinions and reflections.  ...  For this purpose, you can perform a conventional survey among a sample of a randomly selected number of voters in the target group whom you ask their opinions on statements in the election manifesto.  ... 
doi:10.19080/cerj.2017.01.555560 fatcat:h5kwqfj7l5dlpc6t6q2cf5p3rm

Development of Answer Validation System Using Responders' Attributes and Crowd Ranking

Mercy Adebisi, Bolanle Ojokoh, Tolulope Adebayo, Akintoba Akinwonmi, Fatai Sunmola
2021 Journal of Service Science and Management  
Crowdsourcing has found a wide range of application in Community Question Answering (CQA). However, one of its biggest challenges is the need to address the quality of crowd answers contributions.  ...  Therefore, this work proposed a system that seeks to validate answers to questions provided by respondents using responders' attributes and crowd ranking technique.  ...  answer to allot score using a regression model.  ... 
doi:10.4236/jssm.2021.143024 fatcat:enh6lojvkfhxjpwdmptav7jofi

Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems

Yash Raj Shrestha, Yongjie Yang
2019 Algorithms  
a useful perspective for future research.  ...  In this study, we aim to provide a broad and accessible overview of the recent research endeavor aimed at introducing fairness into algorithms used in automated decision-making in three principle domains  ...  Acknowledgments: The authors would like to thank the reviewers for their constructive comments. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/a12090199 fatcat:x2tyt72nbbg5fddnhygfkxsiay

Modeling information-seeker satisfaction in community question answering

Eugene Agichtein, Yandong Liu, Jiang Bian
2009 ACM Transactions on Knowledge Discovery from Data  
We present a general prediction model, and develop a variety of content, structure, and community-focused features for this task.  ...  Our models and predictions could be useful for a variety of applications, such as user intent inference, answer ranking, interface design, and query suggestion and routing.  ...  Answers team for allowing us extended use of the API, the Emory College Seed Fund for partially supporting this research.  ... 
doi:10.1145/1514888.1514893 fatcat:lyx3b22pwnhn7ebei3uphokiei

Predicting web searcher satisfaction with existing community-based answers

Qiaoling Liu, Eugene Agichtein, Gideon Dror, Evgeniy Gabrilovich, Yoelle Maarek, Dan Pelleg, Idan Szpektor
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
Our results suggest promising directions for improving and exploiting community question answering services in pursuit of satisfying even more Web search queries.  ...  Community-based Question Answering (CQA) sites, such as Yahoo! Answers, Baidu Knows, Naver, and Quora, have been rapidly growing in popularity.  ...  Answers. • # of previous questions resolved for the asker. • Avg asker rating for best answers in the category. • Avg voter rating for best answers in the category. • Time of day when the question was  ... 
doi:10.1145/2009916.2009974 dblp:conf/sigir/LiuADGMPS11 fatcat:6xvvm44kundidpm4xwdjpmropq

Finding high-quality content in social media

Eugene Agichtein, Carlos Castillo, Debora Donato, Aristides Gionis, Gilad Mishne
2008 Proceedings of the international conference on Web search and web data mining - WSDM '08  
Answers, a large community question/answering portal that is particularly rich in the amount and types of content and social interactions available in it.  ...  In particular, for the community question/answering domain, we show that our system is able to separate high-quality items from the rest with an accuracy close to that of humans.  ...  ACKNOWLEDGEMENTS The authors thank Byron Dom, Benoit Dumoulin, and Ravi Kumar for many useful discussions. 8.  ... 
doi:10.1145/1341531.1341557 dblp:conf/wsdm/AgichteinCDGM08 fatcat:utsxpt5find2dn6edtcnmnuipm

Landmark-Based Route Recommendation with Crowd Intelligence

Bolong Zheng, Han Su, Kai Zheng, Xiaofang Zhou
2016 Data Science and Engineering  
Given a pair of user-specified origin and destination, a route recommendation service aims to provide users with the routes of the best travelling experience according to given criteria.  ...  Unfortunately, latency of crowdsourced systems is usually high, because they need to generate tasks and wait for workers' feedbacks before answering queries.  ...  In this way, the worker with high accumulate familiarity score will get a relatively high preference score and ensure the preference score will not result in a bias in worker selecting.  ... 
doi:10.1007/s41019-016-0013-1 fatcat:hep2xrffrvc2hj77kct35khbfy

Untangling Fine-Grained Code Changes [article]

Martín Dias, Alberto Bacchelli, Georgios Gousios, Damien Cassou, Stéphane Ducasse (INRIA Lille - Nord Europe)
2015 arXiv   pre-print
., bug fix and refactoring) in a single commit, thus creating a so-called tangled commit.  ...  After working for some time, developers commit their code changes to a version control system.  ...  ACKNOWLEDGEMENTS We thank our study participants for their feedback and the European Smalltalk User Group 9 for its support.  ... 
arXiv:1502.06757v1 fatcat:bufacm2q6vgufbmfsqtmyqhjji

An Iterative Method for Calculating Robust Rating Scores

Mohammad Allahbakhsh, Aleksandar Ignjatovic
2015 IEEE Transactions on Parallel and Distributed Systems  
In this paper we introduce an iterative voting algorithm and then use it to obtain a rating method which is very robust against collusion attacks as well as random and biased raters.  ...  Our tests demonstrate high efficiency of our method, especially for very large online rating systems, for which trust management is both of the highest importance and one of the most challenging problems  ...  For this purpose we introduce for each list Λ l a Lagrangian multiplier λ l , define λ = λ l , : 1 ≤ l ≤ L and look for the stationary points of the Lagrangian function Φ( ρ, λ) = F ( ρ) − L q=1 λq −1  ... 
doi:10.1109/tpds.2013.215 fatcat:txuyac3zo5a3dprpio4ydzgc24

A General Framework for Distributed Vote Aggregation [article]

Behrouz Touri, Farzad Farnoud, Angelia Neidic, and Olgica Milenkovic
2012 arXiv   pre-print
We present a general model for opinion dynamics in a social network together with several possibilities for object selections at times when the agents are communicating.  ...  In particular, we provide an answer to the open problem of the convergence property of the top-k selective gossip model, and show that the convergence holds in a much more general setting.  ...  one, and hence, we naturally have S(t) = {1} for all t ≥ 0. • Top-k Selective Gossiping: The top-k selective gossiping model that was proposed and analyzed in [12] is a special case of the above dynamics  ... 
arXiv:1212.2607v1 fatcat:5kcbpvjrbbakxfrjvrnvut4ag4

Do Concerns about Labour Market Competition Shape Attitudes Toward Immigration? New Evidence

Jens Hainmueller, Michael J. Hiscox, Yotam M. Margalit
2011 Social Science Research Network  
Several prominent studies have examined survey data on voters and concluded that fears about the negative effects of immigration on wages and employment play a major role generating anti-immigrant attitudes  ...  to immigration policy, among this large and diverse set of voters.  ...  In short, the best theory and evidence suggest that the job market effects of immigration should not be a concern for most voters, yet scholars examining survey data have concluded just the opposite.  ... 
doi:10.2139/ssrn.1900149 fatcat:3zqijhnserdwrpgun5e7q6hd4i
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