ASKING IMAGES: HYBRID RECOMMENDATION SYSTEM FOR TOURIST SPOTS BY HIERARCHICAL SAMPLING STATISTICS AND MULTIMODAL VISUAL BAYESIAN PERSONALIZED RANKING

Asking Images: Hybrid Recommendation System for Tourist Spots by Hierarchical Sampling Statistics and Multimodal Visual Bayesian Personalized Ranking

“Data sparseness”is a key issue in current research works on recommendation systems.However, additional information, such as texts, images, knowledge graph, and audios, that is correlated to items helps alleviate the problem to some extent.We focus our research on designing a novel hybrid recommendation system for tourist spots.Touris

read more


Solving dental amalgam dilemma: An integrated toxicology and its management strategies – A systematic review

Mercury (Hg) has been well known as one of the most toxic nonradioactive materials.Anthropogenic mercury is now a major worldwide concern and is an international priority toxic support rail pollutant.Mercury vapour release from amalgam is the most important form of mercury that determines human exposure.Autopsy studies have shown higher levels of m

read more