Sowiport, however, does not operate its own recommender system to calculate article relatedness.
Each article's detail page features a list of related articles (see Figure 2). It enables users to search in a corpus of 9.5 million research articles.
Sowiport is one of the largest digital libraries for the social sciences in Germany.
SOFTWARE LIKE DOCEAR OFFLINE
The rating matrix may be used to train machine learning recommendation algorithms, and conduct offline evaluations. The recommendation logs can be used to analyze how effective the recommendation algorithms and parameters are, and to write and publish research papers about the findings. The dataset contains the delivery and click logs for 57 million displayed recommendations including information about the recommendation algorithms, as well as an implicit item-item ratings matrix based on the logs. RARD is based on the research-paper recommender system Mr. In this paper, we introduce a new dataset named RARD the Related-Article Recommendation Dataset. Keywords: Recommender System, Dataset, Content-based Filtering, Digital Library, APIįigure 1: Number of search results on Google Scholar for " MovieLens" The dataset is available at, and published under the "Creative Commons Attribution 3.0 Unported (CC-BY)" license. To the best of our knowledge, there is no dataset with more (implicit) ratings available, and that many variations of recommendation algorithms. In the field of scientific recommender systems, our dataset is unique. DLib's recommender system, without implementing a recommender system themselves. RARD enables researchers to train machine learning algorithms for research-paper recommendations, perform offline evaluations, and do research on data from Mr. In addition, the dataset contains an implicit item-item rating matrix that was created based on the recommendation click logs. keyphrases), where the features were extracted from (title or abstract), and the time when recommendations were delivered and clicked. content-based filtering, stereotype, most popular), what types of features were used in content based filtering (simple terms vs. Information includes details on which recommendation approaches were used (e.g. The dataset contains information about 57.4 million recommendations that were displayed to the users of Sowiport. In this paper, we introduce RARD, the Related-Article Recommendation Dataset, from the digital library Sowiport and the recommendation-as-a-service provider Mr. While there are many datasets for recommender systems in the domains of movies, books, and music, there are rather few datasets from research-paper recommender systems. In Proceedings of the 11th ACM/IEEE Joint Conference on Digital Libraries (JCDL'11), 2011.Recommender-system datasets are used for recommender-system offline evaluations, training machine-learning algorithms, and exploring user behavior. Docear: An academic literature suite for searching, organizing and creating academic literature.
SOFTWARE LIKE DOCEAR SOFTWARE
Mind mapping software user survey, March 2010. Information Retrieval on Mind Maps - What could it be good for? In Proceedings of the 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom'09), 2009.
PhD thesis, The University of Texas at Austin, 2005. Mindmapping: Its Effects on Student Achievement in High School Biology. International Journal of Applied Linguistics, 14 (2): 259-275, July 2004. acknowledgements in graduate dissertations. BMC Medical Informatics and Decision Making, 3 (11), October 2003. Results of a content analysis of electronic messages (email) sent between patients and their physicians. In 15th International Conference on World Wide Web, pages 83-92, 2006. Detecting spam web pages through content analysis. Alexandros Ntoulas, Marc Najork, Mark Manasse, and Dennis Fetterly.
0 kommentar(er)
