Test input prioritization for machine learning classifiers

X Dang, Y Li, M Papadakis, J Klein… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Machine learning has achieved remarkable success across diverse domains. Nevertheless,
concerns about interpretability in black-box models, especially within Deep Neural Networks …

PR-RCUC: A POI recommendation model using region-based collaborative filtering and user-based mobile context

J Zeng, H Tang, Y Zhao, M Gao, J Wen - Mobile Networks and Applications, 2021 - Springer
Recent years have witnessed the rapid prevalence of big data and it is necessary for mobile
application to filter out information for users. As a significant means of information retrieval …

Ranking-based federated POI recommendation with geographic effect

Q Dong, B Liu, X Zhang, J Qin… - 2022 international joint …, 2022 - ieeexplore.ieee.org
Point of Interest (POI) recommendation system rec-ommends places in which users have
never been to but may be in-terested. Traditionally, it centrally collects contextual information …

[PDF][PDF] Point-of-interest recommender systems: A survey from an experimental perspective

P Sánchez, A Bellogín - arXiv preprint arXiv:2106.10069, 2021 - academia.edu
Authors' addresses: Pablo Sánchez, Information Retrieval Group, Universidad Autónoma de
Madrid, Madrid, 28049, Spain, pablo. sanchezp@ uam. es; Alejandro Bellogín, Information …

Point of interest recommendation method based on bidirectional matrix and deep belief network

W Xu, H Yi, J Song, X Li - IEEJ Transactions on Electrical and …, 2023 - Wiley Online Library
Abstract Point‐of‐interest (POI) recommendation has always faced serious data sparsity
problem. Most of the existing POI recommendation methods do not consider the bidirectional …

Dpr-geo: a poi recommendation model using deep neural network and geographical influence

J Zeng, H Tang, J Wen - … , ICONIP 2020, Bangkok, Thailand, November 23 …, 2020 - Springer
In the wake of developments in artificial intelligence, deep learning technology has been
used in location-based social networks (LBSNs) to provide web services that meet the …

RCFC: a region-based POI recommendation model with collaborative filtering and user context

J Zeng, H Tang, X He - … 2020, Shanghai, China, October 16–18, 2020 …, 2021 - Springer
In the past few years, mobile application has been innovated by leaps and bounds, which
leads the prevalence of location-based social networks (LBSNs). Point of interest (POI) …