Whats Trending? An Efficient Trending Research Topics Extractor and Recommender

Finding trending research topics can be of great importance to many domains. However, despite its importance, the works that concentrated on this task are very limited. Furthermore, they did not consider important criteria to detect trending scientific topics. Furthermore, the extraction of trending topics need to be integrated with a recommender system, as it would be difficult for users to browse all the extracted trending scientific topics. In this work, we propose an efficient trending scientific topics extractor and an integrated recommender system. The contribution of this work lies in three points. First, improving the performance of the trending topic extractors by using two important criteria that were not used by the literature. Second, integrating a recommender system with the trending topic extractor to provide intelligent results based on the user profile. Third, insisting on the importance of this field as it deserves more works in this direction. Experimental results showed that the system is efficient in terms of updating time, trending topic extraction time, extraction recall and precision, and recommendation time.