Patent Application

App. No. 17/708,171

Abstract

Claims (63)

1 . A method for detecting a highlight of a stream, comprising:

collecting purchasing information from a user terminal; and

detecting a highlight of a stream based on the purchasing information, wherein the purchasing information includes purchasing actions of the user terminal, and the purchasing actions relate to a purchase of the user terminal.

2 . The method according to claim 1 , wherein the purchasing actions include actions such as clicking buy button, establishing an order, or finishing payment.

3 . The method according to claim 1 , wherein the purchasing information includes corresponding time information of portions of the stream the user terminal watched.

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

checking a payment status of the user terminal;

selecting the user terminal who has payment record;

capturing the portions of the stream the user terminal watched; and

detecting the portions of the stream as highlights of the stream.

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

collecting purchasing information from plural user terminals,

checking a payment status of the user terminals;

selecting the user terminals who have payment record;

comparing the portions of the stream the user terminals watched;

capturing overlapped portions the user terminals watched; and

detecting the overlapped portions as highlights of the streams.

6 . The method according to claim 1 , wherein the purchasing information includes pre-purchasing actions and the pre-purchasing actions are actions that show a willingness of the user terminal to make a purchase.

7 . The method according to claim 6 , wherein the pre-purchasing actions include actions such as enlarging a picture of a product, checking a description of a product, adding a product to wishlist, adding a product to favorite, adding a product to shopping cart, or checking available coupons, discount tickets, gift certificates.

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

detecting the highlight according to a time point of a purchasing action or pre-purchasing action the user terminal performed.

9 . The method according to claim 1 , wherein the stream is related to live streaming such as entertainment shows or online shopping.

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

setting a time range with respect to the time point;

capturing portions of the stream according to the time point and the time range; and

detecting the portions of the stream as highlights.

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

setting a time offset for the time point;

offsetting the time point to an offset time point;

capturing portions of the stream according to the offset time point; and

detecting the portions of the stream as highlights.

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

calculating total scores for each portion; and

detecting the highlights according to the total scores, wherein the total score is a sum of each score from the user terminal, and the scores are decided according to the purchasing information.

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

calculating total scores for each portion; and

detecting the highlights according to the total scores, wherein the total score is a weighted sum of each score from the user terminal, the scores are decided according to the purchasing action and pre-purchasing action of the user terminal, and the weights are decided according to transaction data of the user terminal.

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

dividing the streams into different portions;

calculating total scores for each portion; and

detecting the highlights according to the total scores.

15 . The method according to claim 14 , further comprising:

ranking the portions of the stream based on the total score; and

detecting the portions above a threshold total score as highlights.

16 . The method of claim 1 , wherein the streaming comprises live streaming, and wherein feedback is collected on a message from the user terminal, the message including content related to the live streaming.

17 . The method of claim 16 , wherein the feedback includes an influence action feedback, the influence action feedback comprising a behavior, and the behavior comprising the purchase of the user terminal.

18 . The method of claim 16 , wherein the feedback is provided to a feedback collecting unit, the feedback collecting unit being provided to a determining unit to determine a communication protocol according to the feedback.

19 . The method of claim 1 , wherein the user terminal comprises a determining unit, the determining unit being configured to determine a communication protocol for the user terminal to receive streaming data comprising the streaming.

20 . A system for detecting highlight of a stream, comprising a highlight detection unit configured to perform:

collecting purchasing information from a user terminal; and

detecting the highlight of the stream according to the purchasing information; wherein the purchasing information includes purchasing actions of the user terminal, and the purchasing actions are actions related to purchase of the user terminal.

21 . The system according to claim 20 , wherein the purchasing actions include actions such as clicking buy button, establishing an order, or finishing payment.

22 . The system according to claim 20 , wherein the highlight detection unit is further configured to perform:

checking a payment status of the user terminal;

selecting the user terminal who has payment record;

capturing portions of the stream the user terminal watched; and

detecting the portions of the stream as highlights of the stream.

23 . The highlight detection system according to claim 20 , wherein the highlight detection unit is further configured to perform:

calculating total scores for each portion; and

detecting the highlights according to the total scores, wherein the total score is a weighted sum of each score from the user terminal, the scores are decided according to the purchasing action and pre-purchasing action of the user terminal, and the weights are decided according to transaction data of the user terminal.

24 . A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform:

collecting purchasing information from a user terminal; and

detecting a highlight of a stream according to the purchasing information; wherein the purchasing information includes purchasing actions of the user terminal, and the purchasing actions are actions related to purchase of the user terminal.

Assignments (8)