Abstract: Content item recommendations are generated for users based on metadata associated with the content items and a history of content item usage associated with the users. Each content item recommendation identifies a user and a content item and includes a score that indicates how likely the user is to view the content item. Based on the content item recommendations, and constraints of one or more caches, the content items are selected for storage in one or more caches. The constraints may include users that are associated with each cache, the geographical location of each cache, the size of each cache, and/or costs associated with each cache such as bandwidth costs. The content items stored in a cache are recommended to users associated with the cache.

Abstract: A technique for configuring a server computer using an optimizer program to achieve optimal performance of the server based on the server types supported by the server. Configuration may involve both calculating server configuration parameters and deciding where to place various files used by the server. In order to decide where to place files, the hardware and software characteristics of the server disk drives are analyzed, and a performance table is generated. The disk drive performance data is then input into a series of algorithms of varying complexity to determine the drives where database files should be stored. Information regarding server utilization, the number of host users and the number of users in the organization is received from an administrator. The administrator input is used to calculate configuration parameters. The optimizer program may automatically adjust a plurality of registry parameters, and may automatically move one or more database and log files to the appropriate disk drives.