Publication entry:

Interactive Product Search Based on Global and Local Visual-Semantic

Full citation: Skopal, T., Peška, L., & Grošup, T. (2018). Interactive product search based on global and local visual-semantic. Similarity Search and Applications: 11th International Conference, SISAP 2018, Lima, Peru, October 7–9, 2018, Proceedings, 87.
BibTeX citation file download: skopal2018interactive.bib

Internal authors

Tomáš Skopal

Deputy head of department, Professor

Ladislav Peška

Associate professor

Research topics

Recommender systems

Software that estimates, models and evaluates user preferences and needs, producing viable recommendations of items such as multimedia or goods that would match user interests.