Method and System for Sorting Online Videos of a Search

• US 20150205580A1
• Filed: 08/30/2013
• Published: 07/23/2015
• Est. Priority Date: 10/08/2012
• Status: Abandoned Application

• Current Assignee: 1Verge Network Technology (Beijing) Co., Ltd.
• Original Assignee: 1verge Internet Technology Company Limited
• Inventors: Yao, Jian, Lu, Wei, Tan, Xiuguang, Yin, Yuzong, Pan, Baiyu, Lu, Shuqi
• Application Number:
  US14/420,889
• Publication Number:
  US 20150205580A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/739 in form of a video summary, e.g. the video summary being a video sequence, a composite still image or having synthesized frames
• CPC Class Codes: G06F 16/743 a collection of video files or sequences
• CPC Class Codes: G06F 16/78 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 7/36 Combined merging and sorting

Abstract

Disclosed herein is a method and system for sorting network videos as a result of an online search. Under the present invention, the system obtains a final sorting factor by calculating weight values of different dimensions, including the release time of a network video, the amount of playbacks of the network video, the classification of the network video and a probability j indicating how often the network video occurs in a collection V. By presenting the videos more needed by the user on the top of a web page, the present invention provides a more accurate display of the search results, thereby improving the user viewing experience.

Claims

1. A method for sorting network videos resulting from a search, comprising:

receiving a search keyword by a user to search network videos;

receiving one or more logs by a log system, wherein each log records one or more network videos clicked by the user from the searched network videos;

based on the received logs, generating a collection V comprising the search keyword K and its corresponding network videos clicked by the user;

calculating a weight value of release times of the network videos in the collection V, a weight value of the amount of playbacks of the network videos in the collection V, a weight value of classifications of the network videos in the collection V and a probability j indicating how many times the same network video occurs in the collection V; and

sorting the searched network videos based on the value of a sorting factor r of each searched network video, wherein r=the release time of a network video×

the weight value of the release time+the amount of playbacks of a network video×

the weight value of the amount of playbacks+the weight value of the classifications of network video+j.

2. The method according to claim 1, wherein the weight value of the release times of the network videos is calculated by:

converting the release times of the network videos in the collection V into an integer relative to the current time in the units of seconds to generate a collection T comprising t1, t2, t3, . . . , tn; and

calculating probabilities p1, p2, p3, wherein p1 is the probability of the times in the collection T smaller than 1 day from the current time, p2 is the probability of the times in the collection T smaller than 7 days from the current time, and p3 is the probability of the times in the collection T smaller than 30 days from the current time,

wherein the weight value of the release times in the sorting factor is p=( 1/30×

p1+ 1/7×

p2+p3)/t, wherein t is an average of the release time in the collection T.

3. The method according to claim 1, wherein the weight value of the amounts of playbacks of network videos is calculated by:

for the amounts v1, v2, v3, . . . , vn of playbacks of every network video in the collection V, calculating a standard deviation of the amount of playbacks using the following formula;

4. The method according to claim 1, wherein the weight value of the classifications of the network videos is calculated by:

for the search keyword K, identifying the number of times S that the search keyword K occurs in the titles of all network videos and the number of times C that the search keyword K occurs in the network videos of a classification A; and

calculating C/S as the probability that the search keyword belongs to the classification A, wherein C/S is the weight value of the classifications of network videos.

5. The method according to claim 1, wherein j is calculated by:

recording the number of times c that the same network video occurs in the collection v, wherein j is equal to the number of times c divided by the times of network videos occurring in the collection v; and

deleting duplicate videos in the collection V.

6. A system for sorting network videos resulting from a search, the system comprising:

a search module for searching network videos based on a search keyword inputted by a user;

a log system for collecting one or more logs of network videos clicked by the user amongst the searched network videos in response to the search keyword, and based on the logs, generating a collection V comprising the search word K and its corresponding network videos clicked by the user;

a computing module for calculating a weight value of release times of the network videos in the collection V, a weight value of amounts of playbacks of the network videos, a weight value of classifications of the network videos and a probability j indicating how many times the same network video occurs in the collection V; and

a sorting module for resorting the searched network videos based on a sorting factor r and displaying the resorted results, wherein r=the release time of network videos×

the weight value of the release time+the amount of playbacks of network videos×

the weight value of the amount of playbacks+the weight value of classifications of network videos+j.

7. The system according to claim 6, wherein the computing module calculates the weight value of the release times of network videos by:

converting the release times of the network videos in the collection V into an integer relative to the current time in the unit of seconds to generate a collection T comprising t1, t2, t3, . . . , tn; and

calculating probabilities p1, p2, p3, wherein p1 is the probability of the times in the collection T smaller than 1 day from the current time, p2 is the probability of the times in the collection T smaller than 7 days from the current time, and p3 is the probability of the times in the collection T smaller than 30 days from the current time,

wherein the weight value of the release times in the sorting factor is p=( 1/30×

p1+ 1/7×

p2+p3)/t, wherein t is an average of the release time in the collection T.

8. The system according to claim 6, wherein the computing module calculates the weight value of the amounts of playbacks of the network videos by:

for the amounts v1, v2, v3, . . . , vn of playbacks of every network video in the collection V, calculating a standard deviation of the amount of playbacks using the following formula;

9. The system according to claim 6, wherein the computing module calculates the weight value of the classifications of the network videos by:

for the search keyword K, identifying the number of times S that the search keyword K occurs in the titles of all network videos and the number of times C that the search keyword K occurs in the network videos of a classification A; and

calculating C/S as the probability that the search keyword belongs to the classification A, wherein C/S is the weight value of the classifications of network videos.

10. The system according to claim 6, wherein the computing module calculates the probability j by:

recording the number of times c that the same network video occurs in the collection v, wherein j is equal to the number of times c divided by the times of network videos occurring in the collection v; and

deleting duplicate videos in the collection V.