User portraying method based on mass cross-screen behavior data

Abstract

The invention discloses a user portraying method based on mass cross-screen behavior data. The method mainly comprises the steps that in the face of bidirectional new multimedia business which is increasingly flexible and millions and even ten millions of mass behavior data of users, collected user behavior data is subjected to HDFS distributed storage; after the data is extracted, converted and loaded through an ETL module, an optimal combinational algorithm conforming to the characteristics of the media industry is used to perform efficient data preprocessing on mass user behavior data fused with content tags, user tags, consumption tags, geotags, equipment tags, user properties etc.; and finally, user portraits are formed, and then relevant user portraits are called through a WEB application. The method provides precise data support for business operation by a broadcast television network operator.

Description

[0001] Technical field: [0002] The invention relates to network information processing technology in the media field, in particular to a user portrait method based on massive cross-screen behavior data. [0003] Background technique: [0004] With the advent of the post-transition era of radio and television network companies, the development of digital TV services is becoming more and more mature, and multiple new interactive services such as pay channels, time-shifted playback, VOD on demand, and other value-added services (stocks, TV malls, games, etc.) are constantly emerging. In order to enrich the business service content of radio and television network operators, the development focus of radio and television network operators has gradually shifted from digital platform construction and two-way network transformation to more diversified business operations and profit models. [0005] Although the development of value-added services has become an important starting point...

AI Technical Summary

Problems solved by technology

[0005] Although the development of value-added services has become an important starting point for radio and television network operators to increase profits and efficiency, due to the lack of data support and lack of three-dimensional understanding of users, there is often a large deviation between the construction and operation of value-added services and the actual needs of users, resulting in There is no standard for business project approval, and the embarrassing situation of no one using the function online. How to obtain user portraits in the network, fully grasp the potential needs of users, and accurately guide business development according to user needs has become a problem to be solved by operators.

[0006] On the other hand, the radio and television network operators' understanding of users is still at the level of basic business marketing. It is difficult to quantify the user's usage habits and potential needs based on historical development experience. Provide accurate data support

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