Multi-evidence User Group Discovery in Professional Image Search

  • Theodora Tsikrika
  • Christos Diou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8416)


This work evaluates the combination of multiple evidence for discovering groups of users with similar interests. User groups are created by analysing the search logs recorded for a sample of 149 users of a professional image search engine in conjunction with the textual and visual features of the clicked images, and evaluated by exploiting their topical classification. The results indicate that the discovered user groups are meaningful and that combining textual and visual features improves the homogeneity of the user groups compared to each individual feature.


Visual Feature User Group Linkage Criterion News Agency Multiple Evidence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Theodora Tsikrika
    • 1
  • Christos Diou
    • 2
  1. 1.Information Technologies Institute, CERTHThessalonikiGreece
  2. 2.ECE DepartmentAristotle University of ThessalonikiThessalonikiGreece

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