Live broadcast recommendation method and device

Abstract

The invention discloses a live broadcast recommendation method and device. The method comprises the steps of sorting live broadcast items according to preset sorting reference elements, thereby obtaining a sorting result; and recommending the live broadcast items according to the sorting result. According to the method and the device, audiences can be distributed automatically and smartly; the audiences are enabled to watch more live broadcast content; and the user experience is improved. Moreover, according to the technical scheme, recommendation sorting is carried out in a manual intervention mode, so more superior live broadcast rooms emerge, and the live broadcast rooms are sorted and displayed fairly in balance.

Description

technical field [0001] The present disclosure relates to the technical field of information processing, and in particular to a live broadcast recommendation method and device. Background technique [0002] With the development of electronic information technology, the network has changed people's way of life, and more and more viewers enter the network live broadcast room to watch the network live broadcast through the network. At the same time, the relevant website also ranks the webcasting rooms according to the number of people in the webcasting room. On the one hand, the ranking results are used to recommend the most popular webcasting for viewers; But at present, it is usually sorted simply according to the number of people in the live broadcast room. The impact of this sorting strategy is as follows: [0003] (1) Live broadcast rooms with a large number of people are ranked in the front, and the probability of viewers entering these live broadcast rooms is relatively ...

AI Technical Summary

Problems solved by technology

[0003] (1) Live broadcast rooms with a large number of people are ranked in the front, and the probability of viewers entering these live broadcast rooms is relatively high, while few people enter the live broadcast rooms with lower rankings, resulting in uneven distribution of the number of live broadcast rooms;

[0004] (2) The uneven distribution of the number of live broadcast rooms will further lead to the fact that the popular live broadcast rooms are always ranked high, and the live broadcast rooms that are temporarily lower but have no chance to break the situation

[0005] In order to solve the above problems, some artificial intervention sorting strategies are currently proposed, such as: artificially setting promotion positions, inserting live broadcast rooms that you want to promote into the promotion positions, and adding higher weights to lower-ranked live broadcast rooms Value, so that the lower-ranked live broadcast rooms also have the opportunity to counterattack

However, the adaptability and scalability of these manual intervention sorting strategies are not strong at present, and factors such as weight values ​​are difficult to control

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