Mining social networks for local search and location-based recommender systems

Fabio Gasparetti,Zhiwen Yu,Francesco Ricci,Sergio Ilarri,Damianos Gavalas

doi:10.1007/s00779-019-01241-0

Abstract

Mining social networks for local search and location-based recommender systems

Highlights

Introduction and motivationLocation-based services (LBSs) are software-level services that use location data in order to provide interesting and useful content to users or other services
The widespread usage of smartphones and wearable devices has made available large amounts of spatio-temporal data. This new reality opens up compelling opportunities and raises challenges related to the automatic discovery and interpretation of data in pervasive environments
While contextual factors quickly became the key of success of these pervasive applications, information related to user interests and preferences as well as social signals have not yet been adequately capitalized

Summary

Introduction

Introduction and motivationLocation-based services (LBSs) are software-level services that use location data in order to provide interesting and useful content to users or other services. Mining social networks for local search and location-based recommender systems Fabio Gasparetti1 & Damianos Gavalas2 & Sergio Ilarri3 & Francesco Ricci4 & Zhiwen Yu5

Results

Conclusion