SYSTEM, METHOD AND COMPUTER-READABLE MEDIUM FOR LIVE STREAMING RECOMMENDATION

1 . A method for recommending live streams, comprising:

determining a user to be disengaged;

determining a thumbnail of a live stream to be attractive for the user;

determining the live stream to be attractive for the user; and

displaying the thumbnail of the live stream to the user.

2 . The method according to claim 1 , wherein the determining the user to be disengaged comprises at least one of the following steps:

determining a view frequency of the user to be less than a frequency threshold,

determining an average view duration of the user to be less than a view duration threshold,

determining an average gift sending times of the user to be less than a gift number threshold,

determining an average number of comments of the user to be less than a comment number threshold,

determining a recency of the user to be greater than a recency threshold, and

determining an engagement ratio of the user to be less than an engagement ratio threshold.

3 . The method according to claim 1 , wherein the determining the thumbnail of the live stream to be attractive for the user comprises:

extracting image features of the thumbnail;

inputting the image features of the thumbnail into a machine learning model; and labeling the thumbnail as attractive for the user according to a result provided by the machine learning model.

4 . The method according to claim 3 , wherein the machine learning model has been trained with image features of thumbnails of available live streams and click rates of the thumbnails to generate a threshold for each image feature contributing to higher click rates, and the labeling process includes determining the image features of the thumbnail to meet their corresponding thresholds.

5 . The method according to claim 4 , wherein a portion of clicks of thumbnails corresponding to the higher click rates are contributed by other disengaged users having the same attributes as the user.

6 . The method according to claim 1 , wherein the determining the live stream to be attractive for the user comprises at least one of the following steps:

determining an average number of comments per viewer of the live stream to be more than a comment number threshold,

determining an average number of gifts per viewer of the live stream to be more than a gift number threshold,

determining an average deposit amount per viewer of the live stream to be more than a deposit amount threshold, and

determining a number of live viewers of the live stream to be more than a viewer number threshold.

7 . The method according to claim 6 , further comprising:

determining the live stream to be attractive or the user around a timing of displaying the thumbnail of the live stream to the user.

8 . The method according to claim 1 , further comprising:

determining the thumbnail of the live stream to have reached a click rate threshold contributed by other disengaged users having the same attributes as the user;

determining a portion of the other disengaged users to have spent a predetermined time period in the live stream.

9 . The method according to claim 5 , wherein the attributes include gender, nationality, hobby, blood type or zodiac sign.

10 . A system for recommending live streams, comprising one or a plurality of processors, wherein the one or plurality of processors execute a machine-readable instruction to perform:

determining a user to be disengaged;

determining a thumbnail of a live stream to be attractive for the user;

determining the live stream to be attractive for the user; and

displaying the thumbnail of the live stream to the user.

11 . A non-transitory computer-readable medium including a program for recommending live streams, wherein the program causes one or a plurality of computers to execute:

determining a user to be disengaged;

determining a thumbnail of a live stream to be attractive for the user;

determining the live stream to be attractive for the user; and

displaying the thumbnail of the live stream to the user.

12 . The method according to claim 8 , wherein the attributes include gender, nationality, hobby, blood type or zodiac sign.