Method and device for recommending television program

Abstract

The invention discloses a method and a device for recommending a television program. The method comprises the following steps of: receiving behavioral data of a user channel, and converting the behavioral data of the user channel into program classification information of the user channel according to a pre-obtained television program list; respectively calculating a user channel classification relevance weight value, a channel classification program time distribution weight value and a channel classification program watching weight value according to the user channel program classification information and received other user channel program classification information; obtaining a television program weight value under each channel classification according to a pre-set television program weight calculation formula and the user channel classification relevance weight value, the channel classification program time distribution weight value and the channel classification program watching weight value; and selecting a television program corresponding to channel classification with a maximum weight value according to the obtained television program weight value under each channel classification, so as to generate a recommending list and recommend the television program to a user. With the adoption of the method and the device for recommending the television program, provided by the invention, the recommending efficiency of the television program can be improved.

Description

technical field [0001] The invention relates to digital television technology, in particular to a method and device for recommending television programs. Background technique [0002] With the development of national triple play integration, the TV market has gradually matured, and more and more companies have begun to develop smart TVs (DTV, Definition Television). Smart TV refers to an open operating system and chip, with an open application platform, can realize two-way human-computer interaction function, can realize new functions or value-added services through independent installation of applications, and can use triple network access, 3C integration, etc. A terminal application platform that meets diverse and individual needs. [0003] At present, there are a large number of TV programs, and the update cycle is short. At the same time, different channels may have the same TV program at different time points or at the same time point. Therefore, how to recommend the u...

AI Technical Summary

Problems solved by technology

Therefore, the generated recommended TV programs do not include the TV programs that users watch more times, which is inconsistent with the user's personalized needs, thereby reducing the efficiency of recommendation; further, the TV programs in the TV program recommendation list, their broadcast time and channel It is generated based on the user's historical data. When the user receives a TV program in the TV program recommendation list and selects a channel to watch according to its broadcast time, the TV program has changed dynamically, resulting in the inability to watch the recommended TV program, making the recommendation Efficiency is further reduced

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