Results 151 to 160 of about 443,564 (206)

Response to Letter to the Editor: Breast Cancer is Increased in Women With Primary Ovarian Insufficiency.

J Clin Endocrinol Metab
Allen-Brady K, Johnstone EB, Welt CK.
europepmc   +1 more source

A Tiered Approach to Exome Sequencing Analysis in Early-Onset Primary Ovarian Insufficiency.

J Clin Endocrinol Metab
McGlacken-Byrne SM, Suntharalingham JP, Ishida M, Buonocore F, Del Valle I, Cameron-Pimblett A, Dattani MT, Achermann JC, Conway GS.   +8 more
europepmc   +1 more source

POI Recommendation: A Temporal Matching between POI Popularity and User Regularity

2016 IEEE 16th International Conference on Data Mining (ICDM), 2016
Point of interest (POI) recommendation, which provides personalized recommendation of places to mobile users, is an important task in location-based social networks (LBSNs). However, quite different from traditional interest-oriented merchandise recommendation, POI recommendation is more complex due to the timing effects: we need to examine whether the
Zijun Yao 0001, Yanjie Fu, Bin Liu 0045, Yanchi Liu, Hui Xiong 0001   +4 more
openaire   +2 more sources

Group-Based Recurrent Neural Networks for POI Recommendation

ACM/IMS Transactions on Data Science, 2020
With the development of mobile Internet, many location-based services have accumulated a large amount of data that can be used for point-of-interest (POI) recommendation.
Xiaofang Zhou, Guohui Li, Bolong Zheng
exaly   +2 more sources

Self-Explainable Next POI Recommendation

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Point-of-Interest (POI) recommendation involves predicting users' next preferred POI and is becoming increasingly significant in location-based social networks.
Kai Yang, Yi Yang 0042, Qiang Gao 0003, Ting Zhong, Yong Wang 0046, Fan Zhou 0002   +5 more
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POI and Future Visitors Recommendation

2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
These days, Location-based Social Networks (LB-SNs) has gotten a lot of consideration in Point-of-Interest (POI) and future visitors Recommendation System. LBSNs has been utilized to mine client's verifiable data. Using the mined data, POI can be recommended to the client.
Grandhi Teja Sri Sai Suresh, K. Pushpak, Kothamasu Venkata Sivanaga Sai, Y. R. Abishake, C. P. Prathibhamol   +4 more
openaire   +1 more source

Generic POI recommendation

Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 2020
For avoiding excessive congestion of tourists that causes overtourism, we propose a Generic Point of Interest (POI), which is an alternative sightseeing spot potentially attractive enough for tourists to replace a well-known sightseeing spot. We also propose a method to discover generic POIs and evaluate it.
Hisao Katsumi, Wataru Yamada, Keiichi Ochiai   +2 more
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Spatiotemporal Representation Learning for Translation-Based POI Recommendation

ACM Transactions on Information Systems, 2019
The increasing proliferation of location-based social networks brings about a huge volume of user check-in data, which facilitates the recommendation of points of interest (POIs).
Hongzhi Yin, Quoc Viet Hung Nguyen, Tieyun Qian   +2 more
exaly   +3 more sources

Geographic-categorical diversification in POI recommendations

Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019
Nowadays, Recommender Systems (RSs) have been used to help users to discover relevant Points Of Interest (POI) in Location Based Social Network (LBSN), such as Yelp and FourSquare. Due to the main challenges of data sparsity and the geographic influence in this scenario, most of works about POI recommendations has only focused on improving the system's
Rodrigo Carvalho 0002, Nícollas Silva, Luiz Chaves, Adriano C. M. Pereira, Leonardo Rocha 0001   +4 more
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Exploiting Hierarchical Structures for POI Recommendation

2017 IEEE International Conference on Data Mining (ICDM), 2017
With the rapid development of location-based social networks, Point-of-Interest (POI) recommendation has played an important role in helping people discover attractive locations. However, existing POI recommendation methods assume a flat structure of POIs, which are better described in a hierarchical structure in reality.
Pengpeng Zhao 0001, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng 0001, Victor S. Sheng, Hui Xiong 0001   +6 more
openaire   +1 more source