Journal article

Improvement of a Location-Aware Recommender System Using Volunteered Geographic Information

Sepehr Honarparvar, Rouzbeh Forouzandeh, AliAsghar ALESHEIKH, B Atazadeh

Geocarto International | Taylor & Francis | Published : 2019

Abstract

Recommender systems (RS), as supportive tools, filter information from a massive amount of data based on the determined preferences. Most of the RS require information about the context of users such as their locations. In such cases, location-aware recommender systems (LARS) can be employed to suggest more personalized items to the users. The most current research projects on LARS focus on the development of algorithms, evaluation methods and applications. However, the role of up-to-date spatial databases in LARS is not a well-researched area. The up-to-date spatial information would potentially improve the accuracy of items which are recommended by LARS. Volunteered geographic information ..

View full abstract

University of Melbourne Researchers