Abstract:
The disclosure includes a system and method for recommending an advertising campaign based on which channels are popular. A recognition application receives captured images from user devices, the captured images including information about products, identify indexed images that match the captured images, identify metadata about the captured images including information associated with products in the captured images, determine popularity of each channel based on a number of interactions that users have had with channels during a time period based on the metadata, receive an advertisement and provide on the one or more channels the advertisement based on the popularity of each channel.
Abstract:
A crowdsourced question and answer platform enhanced with image recognition technology is disclosed. The platform generates and organizes conversations surrounding an object recognized from an image uploaded by a user. Generating and organizing conversations includes receiving an image a from a user, analyzing the image to recognize an object in the image, receiving a comment related to the recognized object in the image from the user, generating content related to the recognized object in the image based on the received comment and adding the content related to the recognized object in the image to a conversation corresponding to the recognized object in the image.
Abstract:
Techniques are provided for offering a deal to a group of users, and for determining differential discounts for the users of the group that participate in the deal. A deal is offered to users of a group of users formed in association with a corresponding topic. Each user of the group is enabled to selectively accept the deal. The deal is confirmed with a plurality of users of the group that accepted the deal. Discounts for the deal are differentially assigned to the plurality of users based on at least one parameter such that at least two users that accepted the deal have discounts that are different from each other.
Abstract:
A system and method for generating and transmitting for display a web page according to user activity data. In one aspect, a server computer receives a request from a user operating a user computing device to serve a web page. The server computer retrieves stored user activity data of the user, the stored user activity data based on interests of the user derived from actions taken by the user on web pages previously viewed by the user. The server computer identifies, using the stored user activity data, web content likely of interest to the user. The server computer then dynamically generates, in response to the request, a user specific web page, the user specific web page comprising the identified web content.
Abstract:
Methods and computer readable medium for allowing a user to participate in an online conversation for a head content includes receiving a response from a user for the head content. The response from the user is geo-tagged with a location of the user. A counter indicative of number of responses received for the head content at the location is updated for the head content to include the response from the user. The responses received for the head content from the plurality of users is filtered to generate a subset of the responses related to the location of the user. The subset of responses and an interactive tag cloud for the head content is presented to the user. The subset of responses is presented in a ranked order. The tag cloud identifies one or more locations that have received greatest number of responses from the plurality of users.
Abstract:
The disclosure includes a system and method for identifying advertising content and providing a user of a mobile device with a channel related to the advertising content. A recognition application receives advertising content comprising a series of frames, identifies images corresponding to the frames within the advertising content, identifies a first set of feature points from a first image of the advertising content, determines whether the first set of feature points matches a second set of feature points stored in a database, and in response to determining that the first set of feature points fails to match the second set of feature points, identifies the first image as being unique, indexes the first image and the first set of feature points and associates the first image with a channel.
Abstract:
The disclosure includes a system and method for identifying discussion groups related to a video that a user would find to be interesting. A recognition application receives a captured image from a user, identifies an indexed image that matches the captured image, identifies a timestamp for the indexed image, determines a segment in the video that encompasses the timestamp, determines whether the user is interested in the segment of the video based on the timestamp and a user profile and provides suggested discussion groups to the user that are ranked based on what the user is interested in.
Abstract:
Methods and computer readable medium for allowing a user to participate in an online conversation for a head content includes receiving a response from a user for the head content. The response from the user is geo-tagged with a location of the user. A counter indicative of number of responses received for the head content at the location is updated for the head content to include the response from the user. The responses received for the head content from the plurality of users is filtered to generate a subset of the responses related to the location of the user. The subset of responses and an interactive tag cloud for the head content is presented to the user. The subset of responses is presented in a ranked order. The tag cloud identifies one or more locations that have received greatest number of responses from the plurality of users.
Abstract:
The disclosure includes a system and method for identifying advertising content and providing a user of a mobile device with a channel related to the advertising content. A recognition application receives advertising content comprising a series of frames, identifies images corresponding to the frames within the advertising content, identifies a first set of feature points from a first image of the advertising content, determines whether the first set of feature points matches a second set of feature points stored in a database, and in response to determining that the first set of feature points fails to match the second set of feature points, identifies the first image as being unique, indexes the first image and the first set of feature points and associates the first image with a channel.
Abstract:
The disclosure includes a system and method selecting advertisements for users based on image capturing patterns across different media. A media application receives a captured image including information about a product from a user, identifying an indexed image matching the captured image including information about the product, retrieving metadata describing the captured image including information about the product responsive to identifying the indexed image, retrieving a user profile stored for the user, identifying an advertisement from a set of advertisements based on the user profile and the metadata describing the captured image including information about the product and providing the user with the advertisement based on the user profile.