Results 141 to 150 of about 975 (190)

A refined maximum predictability for next location prediction with fusion knowledge. [PDF]

PLoS One
Huang L, He Z, Li X, Yu Z.
europepmc   +1 more source

Federated learning-driven collaborative recommendation system for multi-modal art analysis and enhanced recommendations. [PDF]

PeerJ Comput Sci
Gong B, Mahsan IP, Xiao J.
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Leveraging big data in health care and public health for AI driven talent development in rural areas. [PDF]

Front Public Health
Zhou J, Li L, Su J.
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Robust Sequence Design Space for the Isothermal Exponential Amplification of Short Oligonucleotides. [PDF]

Small
Ang YS, Yung LL.
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Curriculum Meta-Learning for Next POI Recommendation

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
Next point-of-interest (POI) recommendation is a hot research field where a recent emerging scenario, next POI to search recommendation, has been deployed in many online map services such as Baidu Maps. One of the key issues in this scenario is providing satisfactory recommendation services for cold-start cities with a limited number of user-POI ...
Yudong Chen 0003, Xin Wang 0019, Miao Fan, Jizhou Huang, Shengwen Yang, Wenwu Zhu 0001   +5 more
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Embedding-Enhanced Similarity Metrics for Next POI Recommendation

Proceedings of the 12th International Conference on Data Science, Technology and Applications, 2023
Social media platforms allow users to socialize with their peers by sharing information in various forms, including photos and tags. This data, extracted from these online networks, paves the way for innovative research that offers the novel possibility of proposing personalized recommendations, for potential travel destinations based on user-generated
Jarrad, Sara, Naacke, Hubert, Gancarski, Stephane, Gueye, Modou   +3 more
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Current location-based next POI recommendation

Proceedings of the International Conference on Web Intelligence, 2017
Availability of large volume of community contributed location data enables a lot of location providing services and these services have attracted many industries and academic researchers by its importance. In this paper we propose the new recommender system that recommends the new POI for next hours.
Shokirkhon Oppokhonov, Seyoung Park, Isaac K. E. Ampomah   +2 more
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Next POI Recommendation with Dynamic Graph and Explicit Dependency

Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Next Point-Of-Interest (POI) recommendation plays an important role in various location-based services. Its main objective is to predict the user's next interested POI based on her previous check-in information. Most existing methods directly use users' historical check-in trajectories to construct various graphs to assist sequential models to complete
Feiyu Yin, Yong Liu 0020, Zhiqi Shen 0001, Lisi Chen 0001, Shuo Shang, Peng Han 0005   +5 more
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Next and Next New POI Recommendation via Latent Behavior Pattern Inference

ACM Transactions on Information Systems, 2019
Next and next new point-of-interest (POI) recommendation are essential instruments in promoting customer experiences and business operations related to locations. However, due to the sparsity of the check-in records, they still remain insufficiently studied.
Lejian Liao, Mingzhong Wang
exaly   +3 more sources

Clustering Users’ POIs Visit Trajectories for Next-POI Recommendation

2018
A novel recommender system that supports tourists in choosing interesting and novel points of interests (POIs) is here presented. It can deal with situations where users’ data is scarce and there is no additional information about users apart from their past POIs visits.
David Massimo, Francesco Ricci 0001
openaire   +1 more source