| 摘要 |
Methods and systems consistent with the present invention provide a recommendation server capable of using interest data to provide a recommendation to a user. Interest data is a type of data that represents a measure of the level of interest someone has expressed in an entity. In particular, methods and sytems consistent with the present invention locate potential neighbors that have rated entities similar to those rated by the user. Once these neighbors are located, an affinity value is calculated between the user and potential neighbor to determine whether the potential neighbor's ratings are closely related to that of the user's ratings. If a user and a neighbor have an affinity greater than a predetermined threshold, that neighbor is considered close enough to the user to provide a recommendation for various entities. |
