Abstract: Disclosed herein is a system and method relating to a listing service's listings, such as job listings of a recruitment service, targeted for a user using targeting information collected external to the listing service. A number of listings are identified for the user using the externally-collected targeting information and information obtained from the listing service including information about listings of the listing service. The user-targeted listing service listings are provided to the user outside the listing service's notifications, such as in a web page provided by a service other than the listing service.

Abstract: Disclosed herein is a system and method relating to a listing service's listings, such as job listings of a recruitment service, targeted for a user using targeting information collected external to the listing service. A number of listings are identified for the user using the externally-collected targeting information and information obtained from the listing service including information about listings of the listing service. The user-targeted listing service listings are provided to the user outside the listing service's notifications, such as in a web page provided by a service other than the listing service.

Abstract: Disclosed herein is a system and method relating to a listing service's listings, such as job listings of a recruitment service, targeted for a user using targeting information collected external to the listing service. A number of listings are identified for the user using the externally-collected targeting information and information obtained from the listing service including information about listings of the listing service. The user-targeted listing service listings are provided to the user outside the listing service's notifications, such as in a web page provided by a service other than the listing service.

Abstract: Methods, systems and computer program products are provided for social networking. In one method, a network builder receives a digital object from the user. The digital object contains information associated with the user. The network builder extracts the information associated with the user from the digital object. The network builder further access the strength of relationships between the user and a plurality of other users, each associated with one or more social networks. The relationships strength is extracted based at least in part on the extracted information. The network builder then adds the user to one or more social networks based on the information associated with the user and the strength of the relationships between the user and the plurality of other users.

Abstract: A computer implemented method comprises analyzing a plurality of attributes of a sample of online documents using a boosted decision tree and generating a model from it. The model is used to predict a click through rate (CTR) of an additional online document based on the analyzing. The predicted CTR is output to a display device, storage medium or network.

Abstract: Methods, systems and computer program products are provided for social networking. In one method, a network builder receives a digital object from the user. The digital object contains information associated with the user. The network builder extracts the information associated with the user from the digital object. The network builder further access the strength of relationships between the user and a plurality of other users, each associated with one or more social networks. The relationships strength is extracted based at least in part on the extracted information. The network builder then adds the user to one or more social networks based on the information associated with the user and the strength of the relationships between the user and the plurality of other users.

Abstract: Disclosed herein is a system and method relating to a listing service's listings, such as job listings of a recruitment service, targeted for a user using targeting information collected external to the listing service. A number of listings are identified for the user using the externally-collected targeting information and information obtained from the listing service including information about listings of the listing service. The user-targeted listing service listings are provided to the user outside the listing service's notifications, such as in a web page provided by a service other than the listing service.

Abstract: Search Query Concept Based Recommendations. A method includes electronically receiving, in a computer system, a title as an input. One or more subsets of the title are generated. A list of key phrases associated with the title is obtained. Further, one or more key phrases from the list corresponding to the one or more subsets is electronically identified. Contents are selected based on the one or more key phrases identified. The contents can be ranked. The contents are then provided to the user.

Abstract: A computer implemented method comprises analyzing a plurality of attributes of a sample of online documents using a boosted decision tree and generating a model from it. The model is used to predict a click through rate (CTR) of an additional online document based on the analyzing. The predicted CTR is output to a display device, storage medium or network.