Multimedia information playing degree-of-interest processing method, serve and client

Abstract

The invention discloses a multimedia information playing degree-of-interest processing method, a serve and a client. The method comprises the following steps: receiving playing data of multimedia information before a first period of time, the multimedia information including at least one first playing unit; analyzing the playing data and obtaining the number of playing of each first playing unit of the multimedia information; generating first playing prompt information of the first period of time according to the number of playing and a preset generation strategy; and sending the first playing prompt information, wherein the first playing prompt information is displayed when the multimedia information is played within the specified time to remind playing hot spots of first media before the first period of time, the beginning time of the specified time is the first time or the second time, and the second time is later than the first time.

Description

technical field [0001] The present invention relates to the processing technology of playing heat in the field of information processing, in particular to a method for processing the playing heat of multimedia information, a server and a client. Background technique [0002] At present, the user is watching multimedia information (such as movies, TV dramas or cartoons, etc.), and does not know which parts of the multimedia information are exciting and which parts are relatively boring parts; The beginning sequence looks backward; obviously, when the user does not have enough time, the user may miss the exciting part in the process of skipping and watching the multimedia information, resulting in low user satisfaction. [0003] At present, some multimedia information will give prompt information in the episode list; and the generation of these prompt information is that after watching the complete multimedia information, a staff member determines which parts are exciting and ...

AI Technical Summary

Problems solved by technology

[0004] First: The staff edits the prompt information according to personal preferences, which may lead to preference deviation; it is impossible to accurately filter out the parts that users like and think are wonderful

For example, most of the users who watch a TV series are between 15 and 20 years old. This group of people likes more fashionable things, and the person who edits the prompt information of the TV series is a 40-year-old staff member. This staff member likes fragments that are closer to life; Furthermore, due to differences in age and preferences, the prompt information edited by the staff has no prompting effect or even misleading effect for the user;

[0005] Second: manual editing by the staff, obviously this is a time-consuming and labor-intensive job, the cost is high, and prompt information cannot be provided in time; for example, a new TV series with 45 episodes is 40 minutes each; It is difficult to edit the prompt information in a short period of time; especially when the staff is limited and the multimedia information is large, it will cause a great delay

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