Search Results for author:
Found 3 papers, 1 papers with code
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms
The performance of recommendation algorithms is closely tied to key characteristics of the data sets they use, such as sparsity, popularity bias, and preference distributions.
Point-of-Interest Recommender Systems based on Location-Based Social Networks: A Survey from an Experimental Perspective
Point-of-Interest recommendation is an increasing research and developing area within the widely adopted technologies known as Recommender Systems.
A novel approach for venue recommendation using cross-domain techniques
We perform an experimental comparison of several recommendation techniques in a temporal split under two conditions: single-domain (only information from the target city is considered) and cross- domain (information from many other cities is incorporated into the recommendation algorithm).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
