Search Results for author:
Found 4 papers, 0 papers with code
Progress in Privacy Protection: A Review of Privacy Preserving Techniques in Recommender Systems, Edge Computing, and Cloud Computing
As digital technology evolves, the increasing use of connected devices brings both challenges and opportunities in the areas of mobile crowdsourcing, edge computing, and recommender systems.
BERT4Loc: BERT for Location -- POI Recommender System
Our model combines location information and user preferences to provide more relevant recommendations compared to models that predict the next POI in a sequence.
Improving Rating and Relevance with Point-of-Interest Recommender System
In this paper, we propose using user and item information and auxiliary information to improve the recommendation modelling in a retrieval system.
Detecting Fake Points of Interest from Location Data
The ground truth labels are obtained through real-world data, and the fake data is generated using an API, so we get a dataset with both the real and fake labels on the location data.
