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Tutorial on Offline Evaluation for Group Recommender Systems

Publikace na Matematicko-fyzikální fakulta |
2022

Tento text není v aktuálním jazyce dostupný. Zobrazuje se verze "en".Abstrakt

Group Recommender Systems (GRSs), unlike recommendations for individuals, provide suggestions for groups of people. Clearly, many activities are often experienced by a group rather than an individual (visiting a restaurant, traveling, watching a movie, etc.) hence the requirement for such systems.

The topic is gradually receiving more and more attention, with an increased number of papers published at significant venues, which is enabled by the predominance of online social platforms that allow their users to interact in groups, as well as to plan group activities. However, the research area lacks certain ground rules, such as basic evaluation agreements.

We believe this is one of the main obstacles to make advances in the research area, and to enable researchers to compare and continue each others' works. In other words, setting the basic evaluation agreements is a stepping-stone towards reproducible Group Recommenders research.

The goal of this tutorial is to tackle this problem, by providing the basic principles of the GRSs offline evaluation approaches.