Unlike conventional POI recommendation, the successive POI recommendation model attaches importance to the user's recent check-ins, considers the user's POI migration in a check-in sequence, and provides users with more accurate POI recommendation.
Apr 29, 2022
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Therefore, we propose in this paper two models to tackle the problem of successive POI recommendation. First, a feature-based successive POI recommendation ...
Aug 26, 2019 · We design a successive POI recommendation framework with local differential privacy, named SPIREL. SPIREL uses two types of information derived from the check- ...
Jul 23, 2018 · We propose in this paper two models to tackle the problem of successive POI recommendation. First, a feature-based successive POI recommendation method, named ...
Therefore, we propose in this paper two models to tackle the problem of successive POI recommendation. First, a feature-based successive POI recommendation ...
To utilize the context information, this paper proposes a novel successive POI recommendation method, SQPMF, which integrates user personal preference, ...
Mar 26, 2020 · We propose a new content-aware successive POI recommendation (CAPRE) model in this paper. Based on a multi-head attention mechanism and a character-level ...
In this paper, we consider the task of successive person- alized Point-of-Interest recommendation in LBSNs. We first investigate the spatial-temporal ...
By analyzing the users' historical check-in records, POI recommendation can help users get better visiting experience by recommending POIs which users may be ...
Sep 1, 2021 · To address this problem, we propose a successive POI recommendation framework with local differential privacy. The proposed framework exploits ...