Image set ordering method driven by user

A sorting method and user-driven technology, applied in the field of online image search, can solve the problem of inability to provide users with more accurate and personalized search services, and achieve the goal of reducing the number of repeated searches, improving satisfaction, and high classification effectiveness. Effect

Inactive Publication Date: 2012-11-28
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

[0003] Aiming at the problem that the existing image search technology cannot provide users with more accurate and personalized search services, the present invention proposes a new image collection sorting method

Method used

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  • Image set ordering method driven by user
  • Image set ordering method driven by user
  • Image set ordering method driven by user

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Embodiment approach

[0031] The best embodiment of the present invention is as follows:

[0032] 1. Statistical image browsing information of users.

[0033] Since existing browsers cannot store the user browsing information we need, the present invention has established a simulation system for extracting user information, such as figure 1 shown. In this system, we import image collections retrieved by other browsers, and collect various browsing information based on user behavior, including: viewing time, download times, and user ratings of each image. Because users typically browse through sets of result images consecutively when browsing search results, we do not believe individual image views are highly valuable for image filtering and ranking. Browsing time and download times can significantly reflect the value of a picture to the user: the more satisfied the user is with the picture, the longer the browsing time will be, and the greater the possibility to download the picture. User rating...

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Abstract

The invention relates to a method for selecting and ordering images according to user feedback, and belongs to the technical field of network image search. The method comprises the following steps of: carrying out statistics on browsing information (including browsing time, downloading times and user scores) that a user browses each image; weighting by using the information and scoring and classifying the browsed images; extracting a preference image characteristic set of each user to be trained; comparing a tested image set calibration result obtained from the training by using different characteristic combinations with a manual calibration result; and selecting a characteristic set which best fits for the image set, so that the representation of the image set well fits for a user preference. The method has the characteristics of simultaneously considering the image universality and the user individual preference; the overall image ordering can be provided in the image search, and an individual search result also can be provided for an individual user; and the method has good learning capability, so that the results fed back to the user can be adjusted constantly according to feedback information.

Description

Technical field [0001] The invention belongs to the technical field of network picture search, in particular to a method for screening and sorting pictures according to user browsing and feedback data. Background technique [0002] In recent decades, with the popularization of personal computers and the Internet, searching for information through the Internet has become one of the important sources for people to obtain information. Among them, image search is an important part of network search. For a long time, the existing image search often screens out results that do not quite match the needs of users. This is due to the following reasons: First, most algorithms for ranking search results are based on basic information such as page views, and cannot provide users with personalized search results. Due to the significant differences in the needs of each user, this general algorithm is bound to reduce the user experience; second, although the recently formed association f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
Inventor 张怡赵天昊李文博莫志鹏
Owner TIANJIN UNIV
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