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Interaction mining and skill-dependent recommendations for multi-objective team composition

Christoph Dorn, Florian Skopik, Daniel Schall, Schahram Dustdar
2011 Data & Knowledge Engineering  
The composition of an effective team requires a balance between adequate skill fulfillment and sufficient team connectivity.  ...  We provide two heuristics based on Genetic Algorithms and Simulated Annealing for discovering efficient team configurations that yield the best trade-off between skill coverage and team connectivity.  ...  Acknowledgment This work has been partially supported by the EU STREP project Commius (FP7-213876), the EU IP project COIN (FP7-216256), and Austrian Science Fund (FWF) J3068-N23. Annex A.  ... 
doi:10.1016/j.datak.2011.06.004 pmid:22298939 pmcid:PMC3268649 fatcat:d4gu2dnt2vag5kwvgeuo2wcpne

Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions

Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler
2017 IEEE Transactions on Knowledge and Data Engineering  
We focus on recommending team members who can maintain the team's performance by minimizing changes to the team's skills and social structure.  ...  Our recommendations are based on computing team-level similarity, which includes skill similarity, structural similarity as well as the synergy between the two.  ...  To assess the skills of players and teams in online multi-player games and team-based sports, "team chemistry" is also accounted for in [20, 21] .  ... 
doi:10.1109/tkde.2016.2633464 pmid:29104408 pmcid:PMC5667925 fatcat:srb5eoltnzbdlexdmdqgteig7y


Nan Cao, Yu-Ru Lin, Liangyue Li, Hanghang Tong
2015 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15  
In this work, we identify the design challenges for mining groups with complex criteria and present an interactive system, "g-Miner," that enables visual mining of groups on multivariate graph data.  ...  This work contributes to understanding the design of systems for leveraging users' knowledge progressively with algorithmic capacity for tackling massive heterogeneous information.  ...  Such multi-objective requirements have been tackled recently by more sophisticated algorithms [1, 19] .  ... 
doi:10.1145/2702123.2702446 dblp:conf/chi/CaoLLT15 fatcat:55dmdbqghrbdbbxmujjrxovxqe

Multi-Objective Optimization for Football Team Member Selection

Haoyu Zhao, Haihui Chen, Shenbao Yu, Bilian Chen
2021 IEEE Access  
Team composition is one of the most important and challenging directions in the recommendation problem.  ...  INDEX TERMS Team composition, Multi-objective optimization, Genetic algorithm FIGURE 1. Football game interface of the PES2021 game platform.  ...  We formulate the team composition issue as a multi-objective optimization problem and propose a variant of the genetic algorithm named ESP, which can automatically output and recommend a football team  ... 
doi:10.1109/access.2021.3091185 fatcat:bybl33qt7rhjpe552fwd6ahudy

Team Composition in PES2018 using Submodular Function Optimization

Yifeng Zeng, Gaoyang Shen, Bilian Chen, Jing Tang.
2019 IEEE Access  
In this article, we consider the team composition as one team player recommendation problem since a team is composed of several players in a game.  ...  We convert the team player recommendation into one optimization problem and resort to greedy algorithm based solutions.  ...  Currently the team composition mainly depends on preferences and knowledge of a human-player who, however, still expects inputs from the gaming system.  ... 
doi:10.1109/access.2019.2919447 fatcat:knamtgdz5bb5lfcktuwsk6ptca

Microlearning and computer-supported collaborative learning: An agenda towards a comprehensive online learning system

Soheila Garshasbi, Brian Yecies, Jun Shen
2021 STEM Education  
<p style='text-indent:20px;'>With the rise of the COVID-19 pandemic and its inevitable consequences in education, increased demand for robust online learning frameworks has occurred at all levels of the  ...  The purpose of this study is to explore the pedagogical frameworks and challenges with reference to interaction and retention in online learning environments, as well as the theoretical and pedagogical  ...  Peer learning entails explaining materials for team members and collaborating with them in learning tasks, measures which result in achieving learning objectives uniformly through interaction and sharing  ... 
doi:10.3934/steme.2021016 fatcat:nwqhbtink5bgjbg2yfpiiuixg4

The Zen of Multidisciplinary Team Recommendation [article]

Anwitaman Datta and Stefano Braghin and Jackson Tan Teck Yong
2013 arXiv   pre-print
In this work we present a general framework of how to compose such subsystems together to build a composite team recommendation system, and instantiate it for a case study of academic teams.  ...  A team recommendation system, which facilitates the search for potential team members can be of great help both for (i) individuals who need to seek out collaborators and (ii) managers who need to build  ...  from documents, multi-dimensional social network modeling and analysis, graph mining and identification of implicit relations, etc.  ... 
arXiv:1303.0646v1 fatcat:w4zymrapdbc5zel54xm2qpgf4u

Some assembly required: leveraging Web science to understand and enable team assembly

N. Contractor
2013 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
Multi-theoretical multi-level model for team assembly Over the past decade, we have developed a multi-theoretical multi-level (MTML) model to explain individuals' motivations to create, maintain, dissolve  ...  skills from their latent networks for a specific task over a finite time period.  ... 
doi:10.1098/rsta.2012.0385 pmid:23419854 pmcid:PMC3575571 fatcat:txsw3oqvynh2hppva3hpebsqey

Replacing the Irreplaceable

Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15  
In this work, we propose a novel problem formulation using the concept of graph kernels that takes into account the interaction of both skill and structure matching requirements.  ...  Prior studies in teamwork have suggested that a good team member replacement should bring synergy to the team in terms of having both skill matching and structure matching.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
doi:10.1145/2736277.2741132 dblp:conf/www/LiTCELB15 fatcat:wfx5dgqjprck5n3gimgvi7heva

Beyond the Badge: Reproducibility Engineering as a Lifetime Skill [article]

Wolfgang Mauerer, Stefan Klessinger, Stefanie Scherzinger
2022 arXiv   pre-print
semi-literate commit messages that document crucial steps of a decision-making process and that are tightly coupled with code, or sustainably taming dynamic, quickly changing software dependencies, to  ...  We argue that the necessary skills are important beyond pure scientific utility, and that they should be taught as part of software engineering (SWE) education.  ...  Sc., is a computer science researcher at University of Passau, and has tutored the joint RepEng course.  ... 
arXiv:2203.05283v1 fatcat:xnt65cfsqnglvjxcpv5h3dfjc4

Team Recommendation Using Order-based Fuzzy Integral and NSGA-II in StarCraft

Lin Wang, Yifeng Zeng, Bilian Chen, Yinghui Pan, Langcai Cao
2020 IEEE Access  
In this article, we formulate the team recommendation as a multi-objective optimization problem and propose a novel team recommendation algorithm to solve the problem.  ...  for team recommendation.  ...  NSGA-II In the team recommendation problem studied in this article, we have two objectives. Hence we adopt NSGA-II [28] which is one of the most widely used multi-objective genetic algorithms.  ... 
doi:10.1109/access.2020.2982647 fatcat:fgg5gpcbkna45dunrcrafalsfa

System Design for Coordinated Multi-robot Assistance Deployment in Smart Spaces

Panagiotis Papadakis, Christophe Lohr, Marin Lujak, Abir Karami, Ioannis Kanellos, Guillaume Lozenguez, Anthony Fleury
2018 2018 Second IEEE International Conference on Robotic Computing (IRC)  
low-level behavioural to higher-level task planning of a multi-layered system architecture.  ...  We argue that people with reduced mobility can benefit from a synergy between AmI and MRT in various aspects.  ...  /teaming with agents and system evaluation (see Section II).  ... 
doi:10.1109/irc.2018.00068 dblp:conf/irc/PapadakisLLKKLF18 fatcat:2fzjpxijrbcwpoza5id5fymg2y

Long Term Learning of Agile Teams

Rizwan Jameel Qureshi M, Zahra Abass
2017 International Journal of Software Engineering & Applications  
Also, the proposed framework will help to achieve long-term organizational and learning of agile teams and help to increase the employee motivation and satisfaction by improving their skill.  ...  For that, to become the norm for a large and complex project a new adaptive agile framework is proposed.  ...  The factors are external dependencies, team composition and allocation and staff turnover.  ... 
doi:10.5121/ijsea.2017.8601 fatcat:jx2wfciujnhgba2mjcuq2z7vhq

An Integrated Knowledge Discovery and Data Mining Process Model [chapter]

Sumana Sharma, Kweku-Muata Osei-Bryson
2015 Knowledge Discovery Process and Methods to Enhance Organizational Performance  
He has taught me how to do research and become an independent thinker. He has inspired me through his love for teaching and the amount of energy and emotions that he invests in his student's welfare.  ...  Dedication For my loving husband Gaurav And the world's best parent 's ~ Gyan Vardhan Pathak (my dad) and Sudha Pathak (my mom) Acknowledgement As my journey in the PhD program comes to an end, I fondly  ...  to formally create a team of individuals who had the necessary skills for seeing the project through to completion.  ... 
doi:10.1201/b18231-5 fatcat:cmb5frhjczhcnlmzd5f7u55nvu

Data Mining System and Applications: A Review

S.P Deshpande, V.M Thakare
2010 International Journal of Distributed and Parallel systems  
This paper gives overview of the data mining systems and some of its applications.  ...  To analyze this vast amount of data and drawing fruitful conclusions and inferences it needs the special tools called data mining tools.  ...  The selection of data mining algorithm is mainly depends on the type of data used for mining and the expected outcome of the mining process.  ... 
doi:10.5121/ijdps.2010.1103 fatcat:bf7smhjk5ja7pciuk3ooesdu5m
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