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39.673  Articles
1 of 3.968 pages  |  10  records  |  more records»
In the recent times, we have loads and loads of information available over the Internet. It has become very cumbersome to extract relevant information out of this huge amount of available information. So to avoid this problem, recommender systems came int... see more

One of the most crucial issues, nowadays, is to provide personalized services to each individual based on their preferences. To achieve this goal, recommender system could be utilized as a tool to help the users in decision-making process offering differe... see more

This research article presents a study about the background in Group Recommender Systems and how social factors are directly related to these applications. Some important group recommender systems in academia are described to exemplify their contribution ... see more

In recent years, massive open online courses (MOOCs) have gained popularity with learners and providers, and thus MOOC providers have started to further enhance the use of MOOCs through recommender systems. This paper is a systematic literature review on ... see more

In our work, we have presented two widely used recommendation systems. We have presented a context-aware recommender system to filter the items associated with user’s interests coupled with a context-based recommender system to prescribe those items. In ... see more

In formal education, a majority of e-learning courses is still conducted in a learning management system (LMS). Teachers and authors of educational resources can make use of context-aware recommender systems, which would recommend relevant learning object... see more

In Army Services, there are a number of valuable decisions that have to be taken for mission accomplishment. These decisions are very important and the choice of a weapon may be able to alter the outcome of a battle decisively. Among several such decision... see more

With the growing scope of the E-commerce industry, a recommender system places a critical role in predicting correct entity to the user. Accuracy and degree of trust are most important parameters of a recommender system. Many recommender algorithms are pr... see more

To develop a recommender system, the collaborative filtering is the best known approach, which considers the ratings of users who have similar rating profiles or rating patterns. Consistently, it is able to compute the similarity of users when there are e... see more

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