Interest Learning from an Image Collection for Advertising
First Claim
1. A computer-readable medium having computer executable instructions encoded thereon, the computer executable instructions encoded for execution by a processor to configure the computer to perform interest mining operations comprising:
- identifying a collection of one or more images associated with a user;
mining image content information of an image from the collection;
based at least on the image content information, determining an annotation corresponding to the image associated with the user, wherein determining the annotation corresponding to the image associated with the user is based at least in part on at least one of;
locating in an image repository using the image content information, an image that is graphically similar to the image associated with the user and mining descriptive data corresponding to the image that is graphically similar to the image associated with the user to derive a learned tag;
processing descriptive data corresponding to the image found in the image repository that is graphically similar to the image associated with the user to derive the learned tag;
annotating the image associated with the user with the learned tag;
based at least on the learned tag, deriving a topic of the image associated with the user;
obtaining a description of a product;
based at least on the description of the product, determining a topic of the product;
mapping the topic of the image associated with the user with the topic of the product;
repeating the mapping for a configurable number of products;
based at least on the mapping, calculating a ranking of topics of products in relation to the topic of the image associated with the user;
obtaining advertising for a configurable number of products based at least on the ranking;
providing a configurable number of advertisements from the obtained advertising.
2 Assignments
0 Petitions
Accused Products
Abstract
Described herein is a technology that facilitates learning interests for advertising based on automated analysis of images. In several embodiments a person'"'"'s interests are automatically learned based on the person'"'"'s photographs for targeted advertising. Techniques are described that facilitate automatically detecting a user'"'"'s interest from images and suggesting user-targeted ads. As described herein, these techniques include computer-annotating images with learned tags, performing topic learning to obtain an interest model, and performing advertisement matching and ranking based on the interest model.
-
Citations
20 Claims
-
1. A computer-readable medium having computer executable instructions encoded thereon, the computer executable instructions encoded for execution by a processor to configure the computer to perform interest mining operations comprising:
-
identifying a collection of one or more images associated with a user; mining image content information of an image from the collection; based at least on the image content information, determining an annotation corresponding to the image associated with the user, wherein determining the annotation corresponding to the image associated with the user is based at least in part on at least one of; locating in an image repository using the image content information, an image that is graphically similar to the image associated with the user and mining descriptive data corresponding to the image that is graphically similar to the image associated with the user to derive a learned tag; processing descriptive data corresponding to the image found in the image repository that is graphically similar to the image associated with the user to derive the learned tag; annotating the image associated with the user with the learned tag; based at least on the learned tag, deriving a topic of the image associated with the user; obtaining a description of a product; based at least on the description of the product, determining a topic of the product; mapping the topic of the image associated with the user with the topic of the product; repeating the mapping for a configurable number of products; based at least on the mapping, calculating a ranking of topics of products in relation to the topic of the image associated with the user; obtaining advertising for a configurable number of products based at least on the ranking; providing a configurable number of advertisements from the obtained advertising. - View Dependent Claims (2, 3)
-
-
4. A method of selecting advertising comprising:
-
identifying a collection of one or more images; determining a collection topic for the collection of one or more images; determining a product topic corresponding to each of a plurality of product advertisements; searching among the product topics to find one or more product topics similar to the collection topic; selecting those product advertisements corresponding to the similar product topics. - View Dependent Claims (5, 6, 7, 8, 9, 10)
-
-
11. A method of Internet advertising, comprising:
-
identifying a collection of one or more images associated with Internet browsing activities of a user; searching an image library for images that are graphically similar to the collection of one or more images associated with the Internet browsing activities of the user, the graphically similar images having associated descriptive data; processing the descriptive data of the graphically similar images to derive a topic for the collection of one or more images associated with the Internet browsing activities of the user; selecting advertising based at least in part on the derived topic; and presenting the selected advertising to the user in response to the browsing activities of the user. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
-
Specification