Anything You Can Do, I Can Do Better: Finding Expert Teams by...

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Given a task that requires several different merits and objects with different scores on the merits, find a group of k objects with strong collective merits. Several Motivating Applications Crowdsourcing Question-Answering platforms Diverse product review selection Fantasy games Paper reviewer selection Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout Naeemul Hassan 1 , Huadong Feng 1 , Ramesh Venkataraman 1 , Gautam Das 1 , Chengkai Li 1 , Nan Zhang 2 1 University of Texas at Arlington, 2 George Washington University Funding System Framework Motivation Skyline Groups Problem n tuples Group size k n >> Candidate Groups, C C << << Search Space Pruning Input Pruning Skyline Groups Skyline Operation Visualization Clustering Preferred Groups Selection & Filtering Points Assists Blocks P 1 30 14 5 P 2 40 12 3 P 3 40 15 3 P 4 20 11 2 P 5 40 11 2 AVG Points Assists Blocks P 1 , P 2 , P 3 37 13.7 3.7 P 1 , P 2 , P 4 30 12.3 3.3 P 1 , P 2 , P 5 37 12.3 3.3 P 1 , P 3 , P 4 30 13.3 3.3 P 1 , P 3 , P 5 37 13.3 3.3 P 1 , P 4 , P 5 30 12 3 P 2 , P 3 , P 4 33 12.7 2.7 P 2 , P 3 , P 5 40 12.7 2.7 P 2 , P 4 , P 5 33 11.3 2.3 P 3 , P 4 , P 5 33 12.3 2.3 Input D: {P1, P2, P3, P4, P5} k: 3 Aggregate function: AVG Skyline Groups {P1, P2, P3}, {P2, P3, P5} Score of NBA players Challenges Huge number of candidate groups: Curse of Dimensionality may lead to many skyline groups Visualizing all the skyline groups Choosing preferred groups from many skyline groups Task Panel Skill Panel Display Panel CrewScout Interface Parameter Panel Skyline Groups Clustering Parameters Preferred Group Selection idir.uta.edu/crewscout Score of Groups Visualization Clustering Several similarity measures Multiple clustering algorithms Visualization Size based on contribution to skyline groups Force Layout Publications 1. On Skyline Groups. Li et al., ACM CIKM, November 2012. 2. On Skyline Groups. Zhang et al., IEEE TKDE, April 2014. 3.Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout. Hassan et al., ACM CIKM, November 2014.

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Page 1: Anything You Can Do, I Can Do Better: Finding Expert Teams by …ranger.uta.edu/.../crewscout-cikm14demo-hassan-poster.pdf · 2018. 7. 5. · Anything You Can Do, I Can Do Better:

Given a task that requires several different

merits and objects with different scores on the

merits, find a group of k objects with strong

collective merits.

Several Motivating Applications

• Crowdsourcing

• Question-Answering platforms

• Diverse product review selection

• Fantasy games

• Paper reviewer selection

Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout

Naeemul Hassan1, Huadong Feng1, Ramesh Venkataraman1, Gautam Das1, Chengkai Li1, Nan Zhang2

1University of Texas at Arlington, 2George Washington University

Funding

System Framework

Motivation Skyline Groups Problem

n tuples

Group size k

𝒏′ n >> 𝒏′

Candidate Groups, C

C << 𝒏′

𝒌 << 𝒏

𝒌

Search Space

Pruning

Input Pruning

Skyline Groups Skyline

Operation

Visualization

Clustering

Preferred Groups Selection &

Filtering

Points Assists Blocks

P1 30 14 5

P2 40 12 3

P3 40 15 3

P4 20 11 2

P5 40 11 2

AVG

Points Assists Blocks

P1, P2, P3 37 13.7 3.7

P1, P2, P4 30 12.3 3.3

P1, P2, P5 37 12.3 3.3

P1, P3, P4 30 13.3 3.3

P1, P3, P5 37 13.3 3.3

P1, P4, P5 30 12 3

P2, P3, P4 33 12.7 2.7

P2, P3, P5 40 12.7 2.7

P2, P4, P5 33 11.3 2.3

P3, P4, P5 33 12.3 2.3

Input

D: {P1, P2, P3, P4, P5}

k: 3

Aggregate function: AVG

Skyline Groups

{P1, P2, P3}, {P2, P3, P5}

Score of NBA players

Challenges

• Huge number of candidate groups: 𝒏𝒌

• Curse of Dimensionality may lead to many

skyline groups

• Visualizing all the skyline groups

• Choosing preferred groups from many

skyline groups

Task Panel

Skill Panel

Disp

lay Panel

CrewScout Interface

Parameter Panel

Skyline Groups Clustering Parameters

Preferred Group Selection

idir.uta.edu/crewscout

Score of Groups

Visualization Clustering

• Several similarity measures

• Multiple clustering algorithms

Visualization

• Size based on contribution to skyline groups

• Force Layout

Publications

1. On Skyline Groups. Li et al., ACM CIKM,

November 2012.

2. On Skyline Groups. Zhang et al., IEEE

TKDE, April 2014.

3. Anything You Can Do, I Can Do Better:

Finding Expert Teams by CrewScout. Hassan

et al., ACM CIKM, November 2014.