Evaluating Diversification in Group Recommendation of Points of Interest

Jadna Almeida da Cruz, Frederico Durão, Rosaldo J. F. Rossetti

2024

Abstract

With the massive availability and use of the Internet, the search for Points of Interest (POI) is becoming an arduous task. POI Recommendation Systems have, therefore, emerged to help users search for and discover relevant POIs based on their preferences and behaviors. These systems combine different information sources and present numerous research challenges and questions. POI recommender systems traditionally focused on providing recommendations to individual users based on their preferences and behaviors. However, there is an increasing need to recommend POIs to groups of users rather than just individuals. People often visit POIs together in groups rather than alone. Thus, some studies indicate that the further users travel, the less relevant the POIs are to them. In addition, the recommendations belong to the same category, without diversity. This work proposes a POI Recommendation System for a group using a diversity algorithm based on members’ preferences and their locations. The evaluation of the proposal involved both online and offline experiments. Accuracy metrics were used in the evaluation, and it was observed that the level at which the results were analyzed was relevant. For the top 3, recommendations without diversity performed better, but diversification positively impacted the results at the top 5 and 10 levels.

Paper Citation

in Harvard Style

Almeida da Cruz J., Durão F. and J. F. Rossetti R. (2024). Evaluating Diversification in Group Recommendation of Points of Interest. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-718-4, SciTePress, pages 35-46. DOI: 10.5220/0012927000003825

in Bibtex Style

@conference{webist24,
author={Jadna Almeida da Cruz and Frederico Durão and Rosaldo J. F. Rossetti},
title={Evaluating Diversification in Group Recommendation of Points of Interest},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2024},
pages={35-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012927000003825},
isbn={978-989-758-718-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Evaluating Diversification in Group Recommendation of Points of Interest
SN - 978-989-758-718-4
AU - Almeida da Cruz J.
AU - Durão F.
AU - J. F. Rossetti R.
PY - 2024
SP - 35
EP - 46
DO - 10.5220/0012927000003825
PB - SciTePress