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音频内容消耗数据

音频内容消耗数据

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Arts and Entertainment,Music,Religion and Belief Systems,Linear Regression Classification

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    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Context There's a story behind every dataset and here's my story. The dataset is a real dataset, the business problem this data need to solve is to provide a recommendation based on prediction of consumption(duration) So what kind of recommendation ??? If you go thru the dataset then you will find a genre ,language and number of units are the features, so given a genre,language and number of units one should be able to recommend the country, operator, service and category in which the consumption(duration) can be maximized. So there you go build an prediction model or any model you can think will help recommend the best combination. Content What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements Please go thru data description. Inspiration what would be the best combination of country,operator,service and category for a given genre,language and number of unit to maximize the consumption(duration) of any content. Your data will be in front of the world's largest data science community. What questions do you want to see answered?
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