Abstract: In some embodiments, the disclosed subject matter involves a system and method relating to evaluating the quality of recommendations provided to a member of a recommendation service. Techniques and embodiments described herein may be applied to various recommendation services/engines. Middleware may be used to receive a member ID from a user and forward the member ID to a recommendation engine without the user having to log on as the member to access recommendations. Results of the recommendation engine may be received by the middleware and forwarded to the user for the selected member to be displayed proximate to the member profile. The user may annotate the recommendations with a relevancy rating to evaluate the quality of the recommendation engine and provide input to retrain recommendation models of the engine. Other embodiments are described and claimed.

Abstract: Techniques are provided for displaying information about entities in a social network. An analysis of profiles of multiple representatives is performed. Each representative is registered with a social network provider and represents an organization from multiple organizations. Based on the analysis, the organizations are ranked. Data about a subset of the organizations is presented, based on the ranking, through a user interface. A user selects an indicator that is associated with a particular organization of the multiple organizations. In response to the input, a subset of the representatives is identified. One or more scores that were generated for a particular representative in the subset are determined. Data about the subset of the representatives is caused to be presented through the user interface. The data identifies the one or more scores and associates the one or more scores with the particular representative.