Abstract: A system, method, and apparatus for de-duplicating and serving a combined content feed are provided. The combined content includes items of two or more classes, such as sponsored and unsponsored, wherein some or all unsponsored content items may be sponsored. A feed service obtains sponsored and unsponsored items suitable for a user to whom the combined content feed is to be served. The service determines whether an item is duplicated among the multiple classes. If so, a distance between the duplicates is calculated (within the feed). If the distance is less than a first threshold, one of them is discarded and may or may not be replaced. A decision regarding which to eject may depend upon which version (e.g., sponsored or unsponsored) is positioned earlier in the feed, whether the duplicates are also less than a second threshold apart (which is lower than the first threshold), and/or other factors.

Abstract: A method and system to provide reputation scores for a social network member is described. An example system comprises an access module, a unit score generator, and a combined reputation score generator. The access module accesses a member profile, and the unit score generator generates reputation scores for one or more units of the member profile. The member profile represents a member of an on-line social network. The combined reputation score generator generates a combined reputation score for the member profile based on the respective reputation scores for the one or more profile units.

Abstract: A method and system to provide reputation scores for a social network member is described. An example system comprises an access module, a unit score generator, and a combined reputation score generator. The access module accesses a member profile, and the unit score generator generates reputation scores for one or more units of the member profile. The member profile represents a member of an on-line social network. The combined reputation score generator generates a combined reputation score for the member profile based on the respective reputation scores for the one or more profile units.