Abstract: According to another embodiment of the invention, an approach is provided for estimating how a user would rate an item that the user has not yet rated. The approach is applicable to any type of items, including rental items such as movies and games, and the invention is not limited to any particular type of item. The approach is applicable to a wide variety of contexts and is ideally suited for automatically selecting rental items to be recommended for rental. One or more items that have been rated by the user are identified. Then, one or more other users are identified that have rated the one or more items and given ratings to the one or more items that are substantially similar to ratings given by user to the one or more items. Finally, an estimation is made how the user would rate the item that the user has not yet rated based upon how the one or more other users rated the item.

Abstract: According to a computer-implemented approach for renting items to customers, customers specify what items to rent using item selection criteria separate from deciding when to receive the specified items. According to the approach, customers provide item selection criteria to a provider provides the items indicated by the item selection criteria to customer over a delivery channel. The provider may be either centralized or distributed depending upon the requirements of a particular application. A “Max Out” approach allows up to a specified number of items to be rented simultaneously to customers. A “Max Turns” approach allows up to a specified number of item exchanges to occur during a specified period of time. The “Max Out” and “Max Turns” approaches may be used together or separately with a variety of subscription methodologies.

Abstract: According to a computer-implemented approach for renting items to customers, customers specify what items to rent using item selection criteria separate from deciding when to receive the specified items. According to the approach, customers provide item selection criteria to a provider provides the items indicated by the item selection criteria to customer over a delivery channel. The provider may be either centralized or distributed depending upon the requirements of a particular application. A “Max Out” approach allows up to a specified number of items to be rented simultaneously to customers. A “Max Turns” approach allows up to a specified number of item exchanges to occur during a specified period of time. The “Max Out” and “Max Turns” approaches may be used together or separately with a variety of subscription methodologies.