Abstract:
Methods, systems and programing for providing a personalized snippet are presented. In one example, a request is received for a snippet related to content to be provided to a user. A plurality of portions of the content is obtained. A first score is calculated for each of the plurality of portions based on information about of the user. One or more portions are selected from the plurality of portions based on the calculated first score. The snippet related to the content is created based on the selected one or more portions. The snippet is transmitted as a response to the request.
Abstract:
Method and system for advertisement coordination through online bidding are provided. In one example, a first bid request is received regarding a first advertisement opportunity. A first advertisement is determined for the first advertisement opportunity. A first online bid associated with the first advertisement is generated based on the first bid request. The first online bid is transmitted as a response to the first bid request. A second bid request is received regarding a second advertisement opportunity. The first and second advertisement opportunities are related to an online service. The user's behavior is obtained with respect to the first advertisement. A second advertisement is determined for the second advertisement opportunity based on the user's behavior with respect to the first advertisement. A second online bid associated with the second advertisement is generated. The second online bid is transmitted as a response to the second bid request.
Abstract:
Method and system for advertisement coordination through online bidding are provided. In one example, a first bid request is received with respect to a first advertisement opportunity. A first advertisement is determined in accordance with the first advertisement opportunity. A first online bid associated with the first advertisement is generated based on the first bid request. The first online bid is transmitted as a response to the first bid request. A second bid request is received with respect to both the first advertisement opportunity and a second advertisement opportunity. The first and second advertisement opportunities are related to an online service. A second advertisement is determined in accordance with the second advertisement opportunity. A second online bid associated with both the first advertisement and the second advertisement is generated. The second online bid is transmitted as a response to the second bid request.
Abstract:
Methods, systems and programming for personalized presentation of content are presented. In one example, a first reference to a first content item is provided to a user. An input is received from the user indicating that the user is following the first reference to access the first content item. A likelihood is calculated, where the likelihood represents how likely the user will be interested in an additional content item similar to the first content item. An actionable representation of the additional content item is provided to the user. The actionable representation comprises an additional reference to the additional content item. The actionable representation is presented in a manner determined based on the calculated likelihood.
Abstract:
Method, system, and programs for providing content recommendation are disclosed. A first set of candidate content items may be generated based on a user profile, and a second set of candidate items may be generated based on the likelihood that the user will click a corresponding candidate content item in the second set. The candidate content items in the first and second sets may be ranked together using a learning model and presented to the user as content recommendations based on their rankings. The likelihood that the user will click a given candidate content item in the second set may be estimated based on similarities between the given content item and content items related to the given content item. Such a similarity may be computed based on activities performed by users who have viewed both the given content item and a related content item.
Abstract:
The present teaching relates to determining user interests based on a correspondence graph. In one example, correspondences among a plurality of users are obtained. Connections among at least some of the plurality of users are identified based on the correspondences. A graph is constructed based on the identified connections. Each of the identified connections has a strength determined based on correspondences associated with the identified connection. One or more seed users are selected from the plurality of users. Each of the one or more seed users has at least one known interest. An interest is determined for each of the at least some of the plurality of users based on the graph and the known interests of the one or more seed users.
Abstract:
Method and system for advertisement coordination through online bidding are provided. In one example, a bid request is received with respect to a plurality of advertisement opportunities. The plurality of advertisement opportunities is related to an online service. A plurality of advertisements is determined in accordance with the plurality of advertisement opportunities. An online bid associated with the plurality of advertisements is generated based on the bid request. The online bid is transmitted as a response to the bid request.
Abstract:
A method for providing an advertisement is disclosed. The method, to be implemented on a machine having at least one processor, storage, and a communication platform connected to a network may include receiving a request for an advertisement to be inserted into a content page to be presented to a user. The method further includes selecting an advertisement relevant to the content page and the user based on a content-advertisement index and a user-advertisement index, constructed based on user browsing context, and transmitting information indicative of the selected advertisement as a response to the request. Further disclosed is a method for generating multi-dimensional index. The method, to be implemented on a machine having at least one processor, storage, and a communication platform connected to a network may include generating a content-advertisement index based on at least one content profile and at least one advertisement profile, and generating a user-advertisement index based on at least one user profile and the at least one advertisement profile. The content-advertisement index and the user-advertisement index are used to select a relevant advertisement to be inserted in a content page that is presented to a user.
Abstract:
The present teaching relates to online user profiling. In one example, content associated with a first user of a social media network is obtained. From the content associated with the first user, a first link to a first piece of content is identified. A second user of the social media network associated with the first user is determined in the context of the social media network. From content associated with the second user of the social media network, a second link to a second piece of content is identified. The first and second pieces of content are retrieved based on the first and second links, respectively. User profile of the first user is generated based, at least in part, on the first and second pieces of content.
Abstract:
Method and system for advertisement coordination through online bidding are provided. In one example, a first bid request and a second bid request are received with respect to a first advertisement opportunity and a second advertisement opportunity, respectively. A first advertisement and a second advertisement are determined for the first and second advertisement opportunities, respectively. A first online bid and a second online bid associated respectively with the first and second advertisements are generated. The first and second online bids are transmitted as a response to the first and second bid requests, respectively. A third bid request is received with respect to both the first and second advertisement opportunities. The first and second advertisement opportunities are related to an online service. A third online bid associated with both the first and second advertisements is generated. The third online bid is transmitted as a response to the third bid request.