This is the video presentation for the paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?". The choice of datasets ...
Feb 25, 2022 · The authors noted that researchers often choose dif- ferent datasets heuristically, and there are many seemingly trivial factors, e.g. data pre ...
The density index of a dataset in the recommender system reflects the proportion of observed interaction data relative to all possible interaction data (Chin et ...
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? ... This repository contains the source code, as well as other useful information, ...
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Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?" Python 23 ...
The datasets dilemma: How much do we really know about recommendation datasets? JY Chin, Y Chen, G Cong. Proceedings of the Fifteenth ACM International ...
Oct 31, 2022 · [3] The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?. WSDM 2022 [4] Deep Learning based Recommender System: A ...
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? ... Recommendations When Selection Bias and User Preferences Are Dynamic
The datasets dilemma: How much do we really know about recommendation datasets?. In Proceedings of the WSDM. ACM, 141–149. Go to Citation. Digital Library.
We find that Precision is consistently higher for data-rich users ... The Datasets Dilemma: How Much. Do We Really Know About Recommendation Datasets?.