METHOD FOR PROCESSING AND RENDERING FEED-LIKE BASED IMAGES FOR MOBILE DEVICES

• US 20170293616A1
• Filed: 04/06/2016
• Published: 10/12/2017
• Est. Priority Date: 04/06/2016
• Status: Active Grant

• Current Assignee: Baidu USA LLC (Baidu Incorporated)
• Original Assignee: Baidu USA LLC (Baidu Incorporated)
• Inventors: Li, Liyun, Hu, Jiangtao, Yang, Guang, Li, Dong, Wang, Jingao
• Granted Patent: US 10,909,170 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/5866 using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
• CPC Class Codes: G06F 16/9577 Optimising the visualization of content, e.g. distillation of HTML documents

Abstract

According to one embodiment, a first image identifier (ID) is received identifying a first of a first set of images, where the first image is currently displayed at a mobile device of a user. A number of additional images the user likely accesses from the first image in sequence is determined based on user interactions of a current browsing session and user interactions of a prior browsing session associated with the user. A second set of images are identified based on the number of additional images the user likely accesses. A sequential order is determined based on rankings of the images in the second set in view of a set of image selection rules. The second set of images is transmitted to the mobile device to be displayed on the mobile device in sequence one at a time.

Claims

1. A computer-implemented method for searching images for mobile devices, the method comprising:

receiving a first image identifier (ID) identifying a first image of a first set of images, the first image being currently displayed at a mobile device of a user;

determining a number of additional images the user likely accesses from the first image in sequence based on user interactions of a current browsing session and user interactions of a prior browsing session associated with the user;

identifying a second set of images based on the number of additional images the user likely accesses;

determining a sequential order of the images of the second set based on rankings of the images in view of a set of image selection rules; and

transmitting the second set of images to the mobile device to be displayed on the mobile device in sequence one at a time.

2. The method of claim 1, further comprising:

in response to a search query received from the mobile device, searching in a content database to identifying the first set of images;

generating a search result page having a plurality of image representations, each image representation representing one of the images in the first set; and

transmitting the search result page to the mobile device to be displayed therein, wherein the first image ID is received in response to a user interaction with the search result page from the mobile device.

3. The method of claim 2, wherein the first set of images was transmitted to the mobile device as part of a search detail page in response to the user interaction with the search result page.

4. The method of claim 1, further comprising:

ranking at least a portion of the second set of images using an image ranking model associated with the user, including computing a ranking score for each of the images in the portion of the second set; and

serializing the second set of images into a sequence of images according to the determined sequential order, wherein the sequential order is determined based on the ranking scores of the images.

5. The method of claim 4, wherein the set of image selection rules was written using a predetermined domain-specific language specifically designed for image searching.

6. The method of claim 4, wherein the set of image selection rules specifies a sequential position of an image within the sequence of images based on a ranking score of the image and a type of the image.

7. The method of claim 4, wherein the image ranking model was generated and trained based on prior user interactions of the user during prior browsing sessions with respect to similar images.

8. The method of claim 4, further comprising:

searching in a primary content database to obtain a set of primary images;

searching in an auxiliary content database to obtain a set of auxiliary images;

ranking the auxiliary images using the image ranking model associated with the user; and

mixing one or more of the auxiliary images with the primary images at one or more sequential positions based on the rankings of the auxiliary images to generate the second set of images.

9. The method of claim 8, wherein at least one of the image selection rules specifies a placement position between two primary images for a particular type of an auxiliary image having a ranking score that is greater than a predetermined threshold.

10. A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations of searching images, the operations comprising:

receiving a first image identifier (ID) identifying a first image of a first set of images, the first image being currently displayed at a mobile device of a user;

determining a number of additional images the user likely accesses from the first image in sequence based on user interactions of a current browsing session and user interactions of a prior browsing session associated with the user;

identifying a second set of images based on the number of additional images the user likely accesses;

determining a sequential order of the images of the second set based on rankings of the images in view of a set of image selection rules; and

transmitting the second set of images to the mobile device to be displayed on the mobile device in sequence one at a time.

11. The non-transitory machine-readable medium of claim 10, wherein the operations further comprise:

in response to a search query received from the mobile device, searching in a content database to identifying the first set of images;

generating a search result page having a plurality of image representations, each image representation representing one of the images in the first set; and

transmitting the search result page to the mobile device to be displayed therein, wherein the first image ID is received in response to a user interaction with the search result page from the mobile device.

12. The non-transitory machine-readable medium of claim 11, wherein the first set of images was transmitted to the mobile device as part of a search detail page in response to the user interaction with the search result page.

13. The non-transitory machine-readable medium of claim 10, wherein the operations further comprise:

ranking at least a portion of the second set of images using an image ranking model associated with the user, including computing a ranking score for each of the images in the portion of the second set; and

serializing the second set of images into a sequence of images according to the determined sequential order, wherein the sequential order is determined based on the ranking scores of the images.

14. The non-transitory machine-readable medium of claim 13, wherein the set of image selection rules was written using a predetermined domain-specific language specifically designed for image searching.

15. The non-transitory machine-readable medium of claim 13, wherein the set of image selection rules specifies a sequential position of an image within the sequence of images based on a ranking score of the image and a type of the image.

16. The non-transitory machine-readable medium of claim 13, wherein the image ranking model was generated and trained based on prior user interactions of the user during prior browsing sessions with respect to similar images.

17. The non-transitory machine-readable medium of claim 13, wherein the operations further comprise:

searching in a primary content database to obtain a set of primary images;

searching in an auxiliary content database to obtain a set of auxiliary images;

ranking the auxiliary images using the image ranking model associated with the user; and

mixing one or more of the auxiliary images with the primary images at one or more sequential positions based on the rankings of the auxiliary images to generate the second set of images.

18. The non-transitory machine-readable medium of claim 17, wherein at least one of the image selection rules specifies a placement position between two primary images for a particular type of an auxiliary image having a ranking score that is greater than a predetermined threshold.

19. A data processing system for searching images for mobile devices, the system comprising:

a processor; and

a memory coupled to the processor for storing instructions, which when executed by the processor, cause the processor to perform operations of searching images, the operations including

receiving a first image identifier (ID) identifying a first image of a first set of images, the first image being currently displayed at a mobile device of a user,

determining a number of additional images the user likely accesses from the first image in sequence based on user interactions of a current browsing session and user interactions of a prior browsing session associated with the user,

identifying a second set of images based on the number of additional images the user likely accesses,

determining a sequential order of the images of the second set based on rankings of the images in view of a set of image selection rules, and

transmitting the second set of images to the mobile device to be displayed on the mobile device in sequence one at a time.

20. The system of claim 19, wherein the operations further comprise:

in response to a search query received from the mobile device, searching in a content database to identifying the first set of images;

generating a search result page having a plurality of image representations, each image representation representing one of the images in the first set; and

transmitting the search result page to the mobile device to be displayed therein, wherein the first image ID is received in response to a user interaction with the search result page from the mobile device.

21. The system of claim 20, wherein the first set of images was transmitted to the mobile device as part of a search detail page in response to the user interaction with the search result page.

22. The system of claim 19, wherein the operations further comprise:

ranking at least a portion of the second set of images using an image ranking model associated with the user, including computing a ranking score for each of the images in the portion of the second set; and

serializing the second set of images into a sequence of images according to the determined sequential order, wherein the sequential order is determined based on the ranking scores of the images.

23. The system of claim 22, wherein the set of image selection rules was written using a predetermined domain-specific language specifically designed for image searching.

24. The system of claim 22, wherein the set of image selection rules specifies a sequential position of an image within the sequence of images based on a ranking score of the image and a type of the image.

25. The system of claim 22, wherein the image ranking model was generated and trained based on prior user interactions of the user during prior browsing sessions with respect to similar images.

26. The system of claim 22, wherein the operations further comprise:

searching in a primary content database to obtain a set of primary images;

searching in an auxiliary content database to obtain a set of auxiliary images;

ranking the auxiliary images using the image ranking model associated with the user; and

mixing one or more of the auxiliary images with the primary images at one or more sequential positions based on the rankings of the auxiliary images to generate the second set of images.

27. The system of claim 26, wherein at least one of the image selection rules specifies a placement position between two primary images for a particular type of an auxiliary image having a ranking score that is greater than a predetermined threshold.