融合深度学习技术的用户兴趣点推荐研究综述

郭旦怀, 张鸣珂, 贾楠, 王彦棡 - 武汉大学学报(信息科学版), 2020 - ch.whu.edu.cn
近年来, 用户兴趣点(point of interest, POI) 推荐是基于位置的社会网络(location-based social
network, LBSN) 研究的热门话题, POI 推荐不仅可以帮助用户找到心仪的POI …

A framework for pre-processing of social media feeds based on integrated local knowledge base

T Kolajo, O Daramola, A Adebiyi, A Seth - Information processing & …, 2020 - Elsevier
Most of the previous studies on the semantic analysis of social media feeds have not
considered the issue of ambiguity that is associated with slangs, abbreviations, and …

Event modeling and mining: a long journey toward explainable events

X Chen, Q Li - The VLDB Journal, 2020 - Springer
Recently, research on event management has redrawn much attention and made great
progress. As the core tasks of event management, event modeling and mining are essential …

Dynamic spatio-temporal tweet mining for event detection: a case study of hurricane florence

M Farnaghi, Z Ghaemi, A Mansourian - International Journal of Disaster …, 2020 - Springer
Extracting information about emerging events in large study areas through spatiotemporal
and textual analysis of geotagged tweets provides the possibility of monitoring the current …

Survey of Point-of-Interest Recommendation Research Fused with Deep Learning

D GUO, M ZHANG, N JIA, Y WANG - Geomatics and Information …, 2020 - ch.whu.edu.cn
Abstract Point-of-interest (POI) recommendation has emerged as a focal point in the
research of location-based social network (LBSN) in recent years. It can help users find their …

A neural model for joint event detection and prediction

L Hu, S Yu, B Wu, C Shao, X Li - Neurocomputing, 2020 - Elsevier
Event prediction aims to predict the future possible event given a sequence of previously
happened events. Event prediction is important since it can benefit the government …

Real-time disease detection and analysis system using social media contents

SY Yoo, DH Kim, SM Yang… - International Journal of …, 2020 - inderscienceonline.com
Nowadays, research that uses social media has become active. In particular, many studies
have attempted to use social media as a sensor, because it generates information in real …

Identifying pathogens of foodborne diseases with machine learning

W Hanxue, C Wenjuan… - Data Analysis and …, 2020 - manu44.magtech.com.cn
[Objective] This paper introduces external data to enhance the word vector representation of
exposure foods, and then uses machine learning methods to identify foodborne disease …