ContentWise Impressions: An Industrial Dataset with Impressions Included
August 03, 2020 Β· Declared Dead Β· π International Conference on Information and Knowledge Management
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Authors
Fernando BenjamΓn PΓ©rez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi
arXiv ID
2008.01212
Category
cs.IR: Information Retrieval
Cross-listed
cs.LG
Citations
30
Venue
International Conference on Information and Knowledge Management
Last Checked
3 months ago
Abstract
In this article, we introduce the ContentWise Impressions dataset, a collection of implicit interactions and impressions of movies and TV series from an Over-The-Top media service, which delivers its media contents over the Internet. The dataset is distinguished from other already available multimedia recommendation datasets by the availability of impressions, i.e., the recommendations shown to the user, its size, and by being open-source. We describe the data collection process, the preprocessing applied, its characteristics, and statistics when compared to other commonly used datasets. We also highlight several possible use cases and research questions that can benefit from the availability of user impressions in an open-source dataset. Furthermore, we release software tools to load and split the data, as well as examples of how to use both user interactions and impressions in several common recommendation algorithms.
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