A method and system for recommending video content based on user viewing time

A technology of video content and viewing time, applied in the direction of selective content distribution, image communication, electrical components, etc., can solve the problem of poor judgment results, and achieve the effect of good accuracy and accurate viewing preference evaluation

Active Publication Date: 2021-05-18
绵阳欢网科技有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the video recommendation in the prior art mostly considers the user's click and does not consider other user factors, resulting in poor judgment results. This application provides a video content recommendation combined with the user's viewing time. method and system

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  • A method and system for recommending video content based on user viewing time

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Embodiment 1

[0023] A method for recommending video content based on user viewing time, comprising the following steps:

[0024] Step 1: Record the m content P1, P2, P3, P4...Pm recorded by the user in n days and record it as Tn(Pm). Tn(Pm) represents the duration corresponding to the m content watched in the past n days. Let SIM( A)=MAX(Tn(Px)), SIM indicates the length of time for user A to watch the longest content Px in the past n days;

[0025] Step 2: directly divide user groups, obtain Tn (Px) in user group a, if Tn (Px) does not exist, exclude Px, m=m-1, return to step 1;

[0026] Step 3: Obtain user group b whose SIM(A) value is similar to that of user group a;

[0027] Step 4: Find user B in user group b according to the SIM (A) value in step 3, so that Tn (Px) is the longest viewing time of user B to content Px;

[0028] Step 5: If the viewing record contained in user B's history is not in user A's history, recommend user B's history to user A, otherwise exclude user B and ret...

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Abstract

The present invention discloses a method and system for recommending video content combined with the user's viewing time, aiming to solve the problem in the prior art that most of the video recommendation considers the user's click and does not consider other user factors, resulting in poor judgment results; The present invention uses the length of user's viewing time as an important factor of user preferences to identify similar users and recommend similar users' watching programs, which exerts the subjective role of human beings, and the recommendation results have better accuracy; this application is applicable to the related fields of content recommendation .

Description

technical field [0001] The present invention relates to a method for recommending video content, in particular to a method and system for recommending video content combined with user viewing time. Background technique [0002] With the development of OTT boxes and smart TVs, and the increasing abundance of Internet videos, some users are faced with the problem of how to find their favorite content. There have been many recommendation methods based on program tags, content, and other latitudes, but these methods ignore human subjective initiative. The recommended content may not be what the user likes and wants to watch, or it is just recorded using the content that the user watched. times regardless of the length of time the user watched the content. [0003] The present invention proposes a new method system, which analyzes the duration of the historical content watched by the user, counts the viewing time of the user, and classifies users with the same content and simila...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/466H04N21/45H04N21/25H04N21/258
CPCH04N21/252H04N21/25891H04N21/4532H04N21/4667H04N21/4668
Inventor 马巨范洪涛范晓波王菁宇
Owner 绵阳欢网科技有限责任公司
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