R3 - A Related Resource Recommender
نویسندگان
چکیده
Due to the ever growing amount of content in the Web of Data, the retrieval of relevant information is challenging. Currently, efficient resource recommendation methods are lacking, that could ease the exploration of data in the Web of Data. To alleviate this situation, this paper proposes the R3 resource recommendation framework for retrieval of data in the Linked Open Data (LOD) cloud. It analyses relevant search engines and interlinking frameworks and, based on that, proposes the R3 framework which is illustrated both in theoretical and practical details. The framework enables the recommendation of (RDF) resources from the LOD cloud based on textual, structural, or semantic similarity.
منابع مشابه
Hybrid Adaptive Educational Hypermedia Recommender Accommodating User’s Learning Style and Web Page Features
Personalized recommenders have proved to be of use as a solution to reduce the information overload problem. Especially in Adaptive Hypermedia System, a recommender is the main module that delivers suitable learning objects to learners. Recommenders suffer from the cold-start and the sparsity problems. Furthermore, obtaining learner’s preferences is cumbersome. Most studies have only focused...
متن کاملIncreasing the Accuracy of Recommender Systems Using the Combination of K-Means and Differential Evolution Algorithms
Recommender systems are the systems that try to make recommendations to each user based on performance, personal tastes, user behaviors, and the context that match their personal preferences and help them in the decision-making process. One of the most important subjects regarding these systems is to increase the system accuracy which means how much the recommendations are close to the user int...
متن کاملR3: A Real-Time Route Recommendation System
Existing route recommendation systems have two main weaknesses. First, they usually recommend the same route for all users and cannot help control traffic jam. Second, they do not take full advantage of real-time traffic to recommend the best routes. To address these two problems, we develop a real-time route recommendation system, called R3, aiming to provide users with the real-time-traffic-a...
متن کاملDesigning a trust-based recommender system in Social Rating Networks
One of the most common styles of business today is electronic business, since it is considered as a principal mean for financial transactions among advanced countries. In view of the fact that due to the evolution of human knowledge and the increase of expectations following that, traditional marketing in electronic business cannot meet current generation’s needs, in order to survive, organizat...
متن کاملProviding a model based on Recommender systems for hospital services (Case: Shariati Hospital of Tehran)
Background and objectives: In the increasingly competitive market of the healthcare industry, the organizations providing health care services are highly in need of systems that will enable them to meet their clients' needs in order to achieve a high degree of patient satisfaction. To this end, health managers need to identify the factors affecting patient satisfaction focus. T...
متن کامل