Results 21 to 30 of about 1,026 (182)

Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation [PDF]

ACM Transactions on Knowledge Discovery from Data, 2022
The task of next Point-of-Interest (POI) recommendation aims at recommending a list of POIs for a user to visit at the next timestamp based on his/her previous interactions, which is valuable for both location-based service providers and users. Recent state-of-the-art studies mainly employ recurrent neural network (RNN) based methods to model user ...
Zhaobo Wang, Yanmin Zhu 0006, Qiaomei Zhang, Haobing Liu 0001, Chunyang Wang 0001, Tong Liu 0001   +5 more
openaire   +1 more source

A Diverse and Personalized POI Recommendation Approach by Integrating Geo-Social Embedding Relations

IEEE Access, 2020
User-POI rating matrix is one of the current research hotspot of POI recommendation algorithms, the goal of which is to obtain the POIs with the highest user satisfaction.
Xiangfu Meng, Jinfeng Fang
doaj   +1 more source

Interpretable Embeddings for Next Point-of-Interest Recommendation via Large Language Model Question–Answering

Mathematics
Next point-of-interest (POI) recommendation provides users with location suggestions that they may be interested in, allowing them to explore their surroundings.
Jiubing Chen, Haoyu Wang, Jianxin Shang, Chaomurilige   +3 more
doaj   +1 more source

Long- and Short-Term Preference Modeling Based on Multi-Level Attention for Next POI Recommendation

ISPRS International Journal of Geo-Information, 2022
The next point-of-interest (POI) recommendation is one of the most essential applications in location-based social networks (LBSNs). Its main goal is to research the sequential patterns of user check-in activities and then predict a user’s next ...
Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng, Xican Wang   +4 more
doaj   +1 more source

The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases. [PDF]

Arthritis Care Res (Hoboken)
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Kundakci B, Barber MRW, Clarke AE, Johnson SR, Mak A, Brunner HI, Inanc M, Ramsey-Goldman R, Ruiz-Irastorza G, Ginzler EM, Hanly JG, Legge A, Aranow C, Arnaud L, Costedoat-Chalumeau N, Gladman DD, Jacobsen S, Petri M, Silva CA, Vinet É, Voskuyl AE, SDI Revision Literature Review Groups, SDI Revision Delphi Panel, SDI Revision Item Reduction Committee, SDI Revision Clinical Domain Groups, Bruce IN.   +25 more
europepmc   +2 more sources

iTourSPOT: a context-aware framework for next POI recommendation in location-based social networks

International Journal of Digital Earth, 2022
The rising prosperity of Location-based Social Networks (LBSNs) witnessed an explosion in the availability of geo-tagged social media data, which enables tremendous location-aware online services, especially next point of interest (POI) recommendation ...
Lin Wan, Han Wang, Yuming Hong, Ran Li, Wei Chen, Zhou Huang   +5 more
doaj   +1 more source

LightMove

Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021
Accepted in CIKM ...
Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song   +6 more
openaire   +2 more sources

AST-PG: Attention-Based Spatial–Temporal Point-of-Interest-Group Model for Real-Time Point-of-Interest Recommendation

Applied Sciences
Research on next-point-of-interest (POI) recommendation has become a new focus in the field of POI recommendation in recent years. The goal of POI recommendation tasks is to predict a user’s future movement trajectory based on their current state and ...
Huarui Yu, Zesheng Cheng
doaj   +1 more source

Where To Go at the Next Timestamp

Data Science and Engineering
The next Point of Interest (POI) recommendation is the core technology of smart city. Current state-of-the-art models attempt to improve the accuracy of the next POI recommendation by incorporating temporal and spatial intervals or by partitioning the ...
Jiaqi Duan, Xiangfu Meng, Guihong Liu
doaj   +1 more source

Yield of endocervical curettage in detecting cervical intraepithelial neoplasia grade 2 or higher during colposcopy: A prospective, cross‐sectional study

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 105-111, April 2025.
Abstract Objective This study assessed the prevalence and factors associated with detecting cervical intraepithelial neoplasia grade 2 or higher (CIN2+) via endocervical curettage (ECC) during colposcopy. Methods Between December 2020 and September 2023, a prospective, cross‐sectional study involving women with abnormal cervical cancer screening ...
Nida Jareemit, Lalita Theerarojanapong, Natthawadee Laokulrath, Vuthinun Achariyapota, Khemanat Khemworapong, Sompop Kuljarasnont, Pornporm Ittiamornlert, Vitcha Poonyakanok, Perapong Inthasorn   +8 more
wiley   +1 more source