Results 151 to 160 of about 30,535 (208)
Fertility Preservation in Pediatric Oncology: A 10-Year Single-Center Experience in Northern Spain. [PDF]
J Clin MedCarmona-Nunez A +4 more
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Climate-driven models reveal temporal trends in Aedes breeding: implications for outbreak preparedness and control interventions. [PDF]
BMC Public HealthAkorli J +14 more
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POI and Future Visitors Recommendation
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021These 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 +4 more
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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 +2 more
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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 +2 more
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Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Providing personalized point-of-interest (POI) recommendation has become a major issue with the rapid emergence of location-based social networks (LBSNs). Unlike traditional recommendation approaches, the LBSNs application domain comes with significant geographical and temporal dimensions.
Griesner, Jean-Benoît +2 more
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Providing personalized point-of-interest (POI) recommendation has become a major issue with the rapid emergence of location-based social networks (LBSNs). Unlike traditional recommendation approaches, the LBSNs application domain comes with significant geographical and temporal dimensions.
Griesner, Jean-Benoît +2 more
openaire +2 more sources
Geographical Diversification in POI Recommendation
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017In recommending POIs(Point-Of-Interests), factors such as the diversity of the recommended POIs are as important as accuracy for providing a satisfactory recommendation. Although existing diversification methods can help POI recommender systems suggest more diverse POIs, they lack "geographical diversification," which results in the concentration of ...
Jungkyu Han, Hayato Yamana
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Sentiment Analysis for POI Recommender Systems
2020 Seventh International Conference on Information Technology Trends (ITT), 2020In recent years, researchers have explored a new way of providing recommendations to a user based on the existing reviews. Nowadays, users search for most of the details about the various tourist Point Of Interest (POI) to make their choices according to their interests. Many times, it is difficult for the user to make the right choices on POI due to a
Ram Krishn Mishra +2 more
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Hierarchical POI Attention Model for Successive POI Recommendation
2021The rapid growth of location-based social networks developed a large number of point-of-interests (POIs). POI recommendation task aims to predict users’ successive POIs, which has attracted more and more research interests recently. POI recommendation is achieved based on POI context, which contains a variety of information, including check-in sequence
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Curriculum Meta-Learning for Next POI Recommendation
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021Next 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 +5 more
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