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| 국가/구분 | United States(US) Patent 등록 |
|---|---|
| 국제특허분류(IPC7판) |
|
| 출원번호 | US-0909792 (1986-09-22) |
| 발명자 / 주소 |
|
| 출원인 / 주소 |
|
| 인용정보 | 피인용 횟수 : 536 인용 특허 : 3 |
A multimode video merchandiser system utilizes two levels of inductive learning to derive rules for selecting the sequence in which images of products stored on a videodisc are presented on a video monitor to a user. The first level of inductive learning generates rules from market survey based, con
A multimode video merchandiser system utilizes two levels of inductive learning to derive rules for selecting the sequence in which images of products stored on a videodisc are presented on a video monitor to a user. The first level of inductive learning generates rules from market survey based, consumer profile attributes assigned to items selected by previous users to determine the profile of the consumer most likely to be using the system at any given time, and to present the items in a sequence most likely to appeal to such a user. The second level of inductive learning utilizes a set of product characteristic attributes assigned to items selected by the current user to determine that user\s preferences, and to modify the sequence of presentation to display first those items possessing the preferred characteristics.
A computer controlled video merchandising system for selectively sequentially presenting a visual display of a plurality of items to which a plurality of products attributes have been assigned, said system comprising: means for generating a record for each item including the assigned attributes; mea
A computer controlled video merchandising system for selectively sequentially presenting a visual display of a plurality of items to which a plurality of products attributes have been assigned, said system comprising: means for generating a record for each item including the assigned attributes; means for selecting a sequence for presenting a visual display of the items based upon the assigned attributes; means for presenting a visual display of said items in said selected sequence; means for a user to generate a user input in response to the visual display of a particular item; and means for rearranging said selected sequence based upon the assigned attributes of the particular items for which the user input was generated. A system for sequentially displaying to a number of successive users merchandise items to which a plurality of attribute values indicative of the appeal of the item to selected classifications of users during a plurality of recurring time periods have been assigned, said system comprising: a video recorder in which images of said items are stored; a video monitor on which said stored images are selectively displayed; interface means by which users generate inputs identifying displayed items in which they are interested; and a digital computer programmed; to record the items identified by the inputs and a recurring time period during which each input was generated, to apply an inductive learning algorithm to the attribute values of the selected items to determine the most likely attribute values of items selected by users during each of said recurring time periods, and to select the sequence in which the images stored in the video recorder are displayed on said video monitor in descending order of a match between the attribute values assigned to each item and said most likely attribute values for the current recurring time period. The system of claim 11 wherein said merchandise items are also assigned item characteristics and wherein said computer is programmed to apply a first inductive learning algorithm to said attribute values of items identified by inputs by all users only between inputs by separate users, to apply a second inductive learning algorithm to said item characteristics assigned to items selected by the current user to determine the item characteristics most appealing to the current user, and to adjust said selected sequence in which the items are displayed to the current user only, to present first to the current user items assigned the item characteristics most appealing to the current user.
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