SYSTEM, METHOD AND COMPUTER-READABLE MEDIUM FOR RECOMMENDATION

1 . A method for recommendation, executed by a server, comprising:

obtaining viewer interaction data of a plurality of content types;

determining distance values between different content types according to the viewer interaction data;

determining a first viewer and a second viewer to have viewed a same content type;

determining a distance value between a first content type viewed by the first viewer and a second content type viewed by the second viewer according to the distance values; and

determining whether or not to recommend a stream corresponding to the first content type to the second viewer according to the distance value.

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

determining the distance value to be greater than a distance threshold; and

recommending the stream to the second viewer.

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

determining the distance value to be less than a distance threshold; and

determining not to recommend the stream to the second viewer.

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

determining the first viewer and the second viewer to have interacted with the same content type;

determining the first viewer to have interacted with the first content type; and

determining the second viewer to have interacted with the second content type.

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

determining a first distance value between two content types to be less when the viewer interaction data indicates that more viewers interacted with both the two content types; and

determining the first distance value between the two content types to be greater when the viewer interaction data indicates that fewer viewers interacted with both the two content types.

6 . The method according to claim 1 , wherein the viewer interaction data includes view durations, comment numbers, following actions, gifting numbers, gifting amount, or number of watched streams, from viewers.

7 . The method according to claim 1 , wherein the obtaining the viewer interaction data of the plurality of content types comprises:

detecting a timing of an interaction action from a viewer towards a content; and

detecting a content type of the content at the timing.

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

obtaining all content types viewed by the second viewer within a predetermined time period;

determining a distance value between the first content type and each content type viewed by the second viewer within the predetermined time period according to the distance values:

determining the distance value between the first content type and each content type viewed by the second viewer within the predetermined time period to be equal to or greater than a distance threshold; and

determining to recommend the first content type to the second viewer.

9 . A system for recommendation, comprising one or a plurality of processors, wherein the one or plurality of processors execute a machine-readable instruction to perform:

obtaining viewer interaction data of a plurality of content types;

determining distance values between different content types according to the viewer interaction data;

determining a first viewer and a second viewer to have viewed a same content type;

determining a distance value between a first content type viewed by the first viewer and a second content type viewed by the second viewer according to the distance values; and

determining whether or not to recommend a stream corresponding to the first content type to the second viewer according to the distance value.

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

obtaining viewer interaction data of a plurality of content types;

determining distance values between different content types according to the viewer interaction data;

determining a first viewer and a second viewer to have viewed a same content type;

determining a distance value between a first content type viewed by the first viewer and a second content type viewed by the second viewer according to the distance values; and

determining whether or not to recommend a stream corresponding to the first content type to the second viewer according to the distance value.