Recommendations for Explorations based on Graphs

Georgia Koutrika
Yannis Ioannidis
Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web(2018)


Recommendations are an integral part of data exploration. Existing approaches, however, consider a limited model of recommendations. In this vision paper, we lay the ground for a graph-based approach for recommendations that allows significant flexibility in capturing both data and recommendations and process them efficiently. We determine the requirements of a desired solution and illustrate the overall idea with an example based on the Yelp dataset.

Research Areas