Modified node2vec and attention based fusion framework for next POI recommendation

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Kumar, Akshi; Jain, Deepak Kumar; Mallik, Abhishek and Kumar, Sanjay. 2024. Modified node2vec and attention based fusion framework for next POI recommendation. Information Fusion, 101, 101998. ISSN 1566-2535 [Article]

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Official URL: https://doi.org/10.1016/j.inffus.2023.101998

Abstract or Description

The rise of location-based services has led to the widespread adoption of location-based social networks (LBSNs), which play a vital role in making recommendations for the next Point-of-Interest (POI). This paper introduces a modified node2Vec and attention-based fusion framework for the next POI recommendation. We start by preprocessing the raw data to gather the relevant information and present a modified node2vec algorithm to generate the feature vectors for users and locations. These feature vectors are then processed using the attention-based framework. The processed features are then used to create well-labeled and balanced datasets which are grouped by specific time intervals. These datasets are then used for training various ML classifiers which are ensembled in a weighted manner to make an improved fusion based recommendation system. The intensive experimental simulations demonstrate the effectiveness of the proposed framework over existing state-of-art methods.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1016/j.inffus.2023.101998

Data Access Statement:

Data will be made available on request.

Keywords:

Attention-based framework, Ensemble learning, Information Fusion, Next Point-Of-Interest recommendation system, Location-based Social Networks (LSBNs), Modified node2vec embedding

Departments, Centres and Research Units:

Computing

Dates: