Se ha denunciado esta presentación.
Utilizamos tu perfil de LinkedIn y tus datos de actividad para personalizar los anuncios y mostrarte publicidad más relevante. Puedes cambiar tus preferencias de publicidad en cualquier momento.

Explaining and Exploring Job Recommendations - DIR 2019

The dynamics of the labor market and the tasks with which jobs are being composed are continuously evolving. Job mobility is not evident, and providing effective recommendations in this context has also been found to be particularly challenging. In this paper, we present Labor Market Explorer, an interactive dashboard that enables job seekers to explore the labor market in a personalized way based on their skills and competences. Through a user-centered design process involving job seekers and job mediators, we developed this dashboard to enable job seekers to explore job recommendations and their required competencies, as well as how these competencies map to their profile. Evaluation results indicate the dashboard empowers job seekers to explore, understand, and find relevant vacancies, mostly independent of their background and age.

  • Inicia sesión para ver los comentarios

  • Sé el primero en recomendar esto

Explaining and Exploring Job Recommendations - DIR 2019

  1. 1. Explaining and Exploring Job Recommendations: a User-driven Approach for Interacting with Knowledge-based Job Recommender Systems Francisco Gutiérrez, Sven Charleer, Robin De Croon, Nyi Nyi Htun, Gerd Goetschalckx, Katrien Verbert @FranciscoGhz 1 @katrien_v AUGMENT
  2. 2. 22 • Abundant overload of job vacancies • Dynamic Labor Market: need to support job mobility • Providing effective recommendations particularly challenging. • Need for: increased diversity explanations user control exploration Problem: interaction with job RecSys needed
  3. 3. Explaining job recommendations to increase user trust and acceptance Support exploration and user control Approach
  4. 4. Research Questions 4 [RQ1] Does enabling job seekers to interact with visualization techniques empower them to explore, understand, and find job recommendations? [RQ2] Do personal characteristics, such as age and background, impact the user perception and user interaction with such an interface?
  5. 5. 5 Interactive & Job Recommender Systems SetFusion (Parra et al., 2014) LinkedVis (Bostandjiev, 2013) JobStreet (Bakri et al., 2017)
  6. 6. Labor Market Explorer Interactive dashboard to support job seekers Explore and explain recommendations - actionable insights
  7. 7. User-Centered Design Process 7
  8. 8. Focus groups 8
  9. 9. 9 Ranking of parameters as voted by participants
  10. 10. Co-Design Sessions 10
  11. 11. Labor Market Explorer Design Goals 11 [DG1] Exploration/Control Job seekers should be able to control recommendations and filter out the information flow coming from the recommender engine by prioritizing specific items of interest. [DG2] Explanations Recommendations and matching scores should be explained, and details should be provided on-demand. [DG3] Actionable Insights The interface should provide actionable insights to help job-seekers find new or more job recommendations from different perspectives.
  12. 12. Labor Market Explorer 12
  13. 13. Labor Market Explorer 13
  14. 14. [DG1] Exploration/Control 14
  15. 15. [DG2] Explanations 15
  16. 16. [DG3] Actionable Insights 16
  17. 17. Final Evaluation 66 job seekers (age 33.9 ± 9.5, 18F) 8 Training Programs, 4 Groups, 1 Hour. 1 2 3 4 5 6 7 8 ResQue Questionnaire + two open questions. Users explored the tool freely. All interactions were logged. 17
  18. 18. User Feedback 18
  19. 19. User Feedback 19
  20. 20. User Feedback 20
  21. 21. Interaction Patterns 21
  22. 22. Interaction Patterns 22
  23. 23. Interaction Patterns 23
  24. 24. Discussion [RQ1] User Empowerment • The approach is perceived as effective to explore job recommendations. • Most participants felt confident and will use the explorer again. • Explanations contribute to support user empowerment. • A diverse set of actionable insights were also mentioned by participants. 24
  25. 25. [RQ2] Personal Characteristics • The explorer was slightly better perceived by older participants (45+). • Participants in the technical group engaged more with all the different features of the dashboard. • Non-native speakers, sales and construction groups engaged more with the map. • The table overview was perceived as very useful by all user groups, but the interaction may need further simplification for some users. Discussion 25
  26. 26. • A visual representation of the labor market was deemed interesting by both job seekers and job mediators. • Tool inspired by the UpSet visualization technique. • Competence-based explanations, the diverse set of filters, location-based search and overview features, were relevant. Design Implications 26
  27. 27. User-centered design process involving both job seekers and job mediators Key features: Design Implications 27 • Overview first, favorite competences of interest. • Competence-based explanations. • Actionable, job market related insights. • Diverse set of filters.
  28. 28. • Future work will focus on a “simulation mode”. • Further investigate job mobility scenarios. • Explore “What-If” scenarios. • Autonomous exploration of the job market. Future Work 28
  29. 29. Explaining and Exploring Job Recommendations: a User-driven Approach for Interacting with Knowledge-based Job Recommender Systems Francisco Gutiérrez, Sven Charleer, Robin De Croon, Nyi Nyi Htun, Gerd Goetschalckx, Katrien Verbert 29 AUGMENT @FranciscoGhz @katrien_v