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143.749  Articles
1 of 14.376 pages  |  10  records  |  more records»
AbstractThe increasing enthusiasm of aquascape hobbyists is one of the factors in the development of the beauty industry of artificial underwater ecosystems in the aquarium. The aesthetic value offered by aquascape is one of the allures for its connoisseu... see more

User and item embeddings are key resources for the development of recommender systems. Recent works has exploited connectivity between users and items in graphs to incorporate the preferences of local neighborhoods into embeddings. Information inferred fr... see more

There is a huge information stockpile available on the internet. But the available information still throws a stiff challenge to users while selecting the needed information. Such an issue can be solved by applying information filtering for locating the r... see more

Learning using video media such as watching videos on YouTube is an alternative method of learning that is often used. However, there are so many learning videos available that finding videos with the right content is difficult and time-consuming. Therefo... see more

Information gain is an algorithm that can be used to rank datasets. This research applied the information gain algorithm to the culinary recommendation system in Lhokseumawe city.  Lhokseumawe is one of the tourist destinations in the northen region ... see more

The problem of the formation of the recommended list of items in the situation of cyclic cold start of the recommendation system is considered. This problem occurs when building recommendations for occasional users. The interests of such consumers change ... see more

Over the past few years, there have been an overwhelming number of healthcare providers, hospitals and clinics. In such a situation, finding the right hospital for the right ailment can be a considerable challenge. Inspired by this challenge, this work at... see more

Recently, Recommender Systems (RSs) have attracted many researchers whose goal is to improve the performance of the prediction accuracy of recommendation systems by alleviating RSs drawbacks. The most common limitations are sparsity and the cold-start pro... see more

In e-learning, recommendation systems have proven to be highly efficient for improving learners' performance and knowledge. They can manage the different pedagogical resources and simplify the workload for the instructor and learners as well. Throughout t... see more

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