arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.01212cs.IRcs.LG
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ContentWise Imperial:包含Imperial的工业数据集

ContentWise Impressions: An Industrial Dataset with Impressions Included

Politecnico di Milano(米兰理工大学);ContentWise(ContentWise公司)

Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi

摘要:

在本文中,我们将介绍ContentWise Impersion数据集,这是一个来自Over-The-Top媒体服务的电影和电视剧的隐式交互和印象的集合,该服务通过互联网提供其媒体内容。该数据集通过印象的可用性与其他已经可用的多媒体推荐数据集区分开,即,向用户展示的建议,它的大小,以及开源。我们描述了数据汇集过程,应用的预处理,它的特点,并与其他常用的数据集相比统计。我们还强调了几个可能的用例和研究问题,这些用例和研究问题可以从开源数据集中用户印象的可用性中受益。此外,我们还发布了加载和拆分数据的软件工具,以及如何在几种常见的推荐算法中使用用户交互和印象的示例。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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