Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.

Resource management of social network applications

Applications in social networks support interaction between members through various types of channels such as email, notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of the number of messages allowed for an application for a channel.

Determining user affinity towards applications on a social networking website

Systems, methods, and computer-readable media for navigating search results are provided. In response to receiving a search query, at least one individual search result is presented in an overlay window, the overlay window being configured to overlay at least a portion of a document viewing window. Navigation between the overlay window and the document viewing window may be performed in response to receiving input of at least one pre-determined command. Content associated with a selected individual search result (or other document identifier) may be presented in the document viewing window and, substantially simultaneously, the overlay window may be hidden from view. Subsequently, in response to receiving at least one pre-determined command, the overlay window may be re-presented such that it again overlays at least a portion of the document viewing window.

Efficient navigation of search results

Architecture for dynamically tracking information about a first-time or inactive user to a website and expeditiously presenting targeted content back to the user to maintain the user interest in the website. A visceral connection is created with the user based on immediately relevant content and functionality, and without requiring user-entered profile information about the user. Based on a few pieces of browsing information collected while at the website an action-oriented initial scenario is provided that is interesting to the user, and gets the user invested in the content (e.g., product) as a whole. Services can be recommended to users in the context of a social application or an online service provider, for example. The architecture also facilitates the up-selling, cross-selling of services, features, and products, for example, to users based on the current user browsing activity.

Content recommendations based on browsing information

A method of automatically creating a personaiized homepage which infers one or more categories of interest from previous user activities in a different but related web service product, instead of expressly asking the user to input his/her areas of interest.

Method and System of Creating a Personalized Homepage

A system for dynamically adaptively personalizing at least one navigation control for a web site. Based on collected behaviors for a user, at least one navigation control is dynamically updated to link to a portion of the web site that may be of most interest to the user. Personalized navigation controls for accessing portions of the web site can be dynamically arranged on the web page displayed to the user. Additionally, the personalized navigation may be employed to drives screens of a mobile or living room device.

Donna Boyer

Papers

Method and apparatus for adaptive personalization of navigation