Abstract: Among other things, embodiments of the present disclosure discussed herein help to identify peers of various individuals and organizations who are members of an online social network. Groups of peers may be identified based on various criteria, and some embodiments may generate a probability score reflecting a confidence level that two or more members of the online social network are peers of one another.

Abstract: A system and method includes obtaining, from a database, member characteristics of a member of an online social networking system, obtaining, from the database, job characteristics of a job posted to the online social networking system, and determining, characteristic scores including, for each member characteristic, a characteristic score based on a relationship between the member characteristic and an associated one of the job characteristics. A processor combines the characteristic scores to obtain an aggregate job score, combines a subset of the characteristic scores to obtain a category score, obtains, from the database, aggregate job scores and category scores associated with the job from other members of the online social networking system, and determines an aggregate rank of the aggregate job score in relation to the aggregate job scores and a category rank of the category score in relation to the category scores.

Abstract: A system and a method are disclosed that determine the informative zone of an image. A system and method include receiving image data representative of an image, determining the non-redundant regions of the image based on analysis of patterns of the image data, and determining an area of the image that encompasses the non-redundant regions of the image as the informative zone of the image.

Abstract: A system and a method are disclosed that determine placement of a background image on a canvas and area for placement of foreground images. A system and method include receiving data indicative of an informative zone of a background image and computing an estimated foreground area on a canvas for each candidate placement of the background image on the canvas. The estimated foreground area is computed based on the data indicative of the informative zone and the number of images to be used as foreground images and does not include the informative zone. One of the candidate placements is determined as a selected background placement based on the computed values of estimated foreground area. A composite image can be generated from the background image positioned on the canvas according to the selected background placement and foreground images positioned outside of the informative zone.

Abstract: A system and a method are disclosed that determine placement of a background image on a canvas and area for placement of foreground images. A system and method include receiving data indicative of an informative zone of a background image and computing an estimated foreground area on a canvas for each candidate placement of the background image on the canvas. The estimated foreground area is computed based on the data indicative of the informative zone and the number of images to be used as foreground images and does not include the informative zone. One of the candidate placements is determined as a selected background placement based on the computed values of estimated foreground area. A composite image can be generated from the background image positioned on the canvas according to the selected background placement and foreground images positioned outside of the informative zone.

Abstract: A system and a method are disclosed that determine the informative zone of an image. A system and method include receiving image data representative of an image, determining the non-redundant regions of the image based on analysis of patterns of the image data, and determining an area of the image that encompasses the non-redundant regions of the image as the informative zone of the image.