1 to 5 of 5 Results
Jan 8, 2019
Beel, Joeran; Smyth, Barry; Collins, Andrew, 2018, "RARD II: The 2nd Related-Article Recommendation Dataset", https://doi.org/10.7910/DVN/AT4MNE, Harvard Dataverse, V3, UNF:6:E9K+VXAEoMWF7v7oA3B8LQ== [fileUNF]
We introduce RARD II: The 2nd Related-Article Recommendation Dataset from the recommendation-as-a-service provider Mr. DLib (http://mr-dlib.org). The RARD II dataset encompasses 94m recommendations, covering an item-space of 24m unique items. RARD II provides a range of rich reco... |
Mar 15, 2018
Collins, Andrew; Tkaczyk, Dominika; Aizawa, Akiko; Beel, Joeran, 2018, "Position Bias in Recommender Systems for Digital Libraries (Dataset)", https://doi.org/10.7910/DVN/HHBFJF, Harvard Dataverse, V1
This data relates to the paper "Position Bias in Recommender Systems for Digital Libraries". During the course of this study, 1.6m sets, each containing 6 recommendations, were delivered to users of a digital library. Of these recommendations delivered, 12,543 clicks were logged.... |
Beel, Joeran; Carevic, Zeljko; Schaible, Johann; Neusch, Gabor, 2017, "RARD: The Related-Article Recommendation Dataset [Data]", https://doi.org/10.7910/DVN/HA8EAH, Harvard Dataverse, V2, UNF:6:LHCLN8v9XpA7Fude574OEw== [fileUNF]
We introduce RARD, the Related-Article Recommendation Dataset, from the digital library Sowiport and the recommendation-as-a-service provider Mr. DLib (http://mr-dlib.org). The dataset contains information about 57.4 million recommendations that were displayed to the users of Sow... |
Siebert, Sophie; Siddharth Dinesh; Stefan Feyer, 2017, "Replication Data for: Extending a Research-Paper Recommendation System with Scientometric Measures", https://doi.org/10.7910/DVN/RVVWMO, Harvard Dataverse, V1
This data relates to our paper "Extending a Research-Paper Recommendation System with Scientometric Measures". The data includes a list of the 38,7 million delivered and clicked recommendations as CSV file, the python script to analyze the data, and the figures and tables present... |
Beel, Joeran; Dinesh, Siddharth; Mayr, Philipp; Carevic, Zeljko; Raghvendra, Jain, 2017, "Stereotype and Most-Popular Recommendations in the Digital Library Sowiport [Dataset]", https://doi.org/10.7910/DVN/HFIV1A, Harvard Dataverse, V2, UNF:6:BeXwPDUp7i0Pwe72qFXP0A== [fileUNF]
This data relates to our paper "Stereotype and Most-Popular Recommendations in the Digital Library Sowiport". The data includes a list of the 28 million delivered and clicked recommendations as CSV file, the R script to analyze the data, and the figures and tables presented in th... |
