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Method and apparatus for generating a stereotypical profile for recommending items of interest using item-based clustering

A variance, the same type of technology, applied in special data processing applications, instruments, televisions, etc., can solve the problem of not being able to make any recommendations

Inactive Publication Date: 2005-02-23
KONINKLIJKE PHILIPS ELECTRONICS NV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Thus these implicit TV program recommendation tools cannot make any recommendations when first obtained

Method used

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  • Method and apparatus for generating a stereotypical profile for recommending items of interest using item-based clustering
  • Method and apparatus for generating a stereotypical profile for recommending items of interest using item-based clustering
  • Method and apparatus for generating a stereotypical profile for recommending items of interest using item-based clustering

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Embodiment Construction

[0021] FIG. 1 shows a television program recommender 100 in accordance with the present invention. As shown in FIG. 1, the example television program recommender 100 evaluates programs in a program database 200, which is discussed below in conjunction with FIG. 2, to identify programs of interest to a particular viewer. The set of recommended programs can be presented to the viewer, for example using a set-top terminal / television (not shown) using well known on-screen presentation techniques. Although the invention is described here in the context of television program recommendations, the invention can be applied to any automatically generated recommendations based on evaluations of user behavior, such as viewing history or purchase history.

[0022] According to one feature of the invention, the television program recommender 100 may generate television program recommendations before the user's viewing history 140 is available—such as when the user first obtains the televisi...

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Abstract

A method and apparatus are disclosed for recommending items of interest to a user, such as television program recommendations, before a viewing history or purchase history of the user is available. A third party viewing or purchase history is processed to generate stereotype profiles that reflect the typical patterns of items selected by representative viewers. A user can select the most relevant stereotype(s) from the generated stereotype profiles and thereby initialize his or her profile with the items that are closest to his or her own interests. A clustering routine partitions the third party viewing or purchase history (the data set) into clusters using a k-means clustering algorithm, such that points (e.g., television programs) in one cluster are closer to the mean of that cluster than any other cluster. A mean computation routine computes the symbolic mean of a cluster. For an item -based mean computation, the distance computation between two items is performed on the item level and the resultant cluster mean is made up of the feature values of the selected mean item. Thus, the one or more items that exhibit the minimum variance are selected as the mean of that cluster.

Description

[0001] This invention is related to the following U.S. patent applications, entitled "Method and Apparatus for Evaluating the Closeness of Items in a Recommender of Such Items" (Attorney Docket No. US010567); Recommender of Such Items" (lawyer file number US010568); name is "Method and Apparatus for Recommending Items of Interest Based on Preference of a Selected Third Party" (lawyer file number US010572); name is "Method and Apparatus for Recommending Items of Interest Based on Stereotype Preference of Third Party" (lawyer file number US010575); and titled "Method and Apparatus for Generating a Stereotypical Profile for Recommending Items of Interest Using Feature-Based Clustering" (lawyer file number US010576), each of which is at the same time as this application submitted, and both are assigned to the assignee of the present invention. incorporated herein by reference. technical field [0002] The present invention relates to methods and apparatus for recommending items o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30H04N7/16H04N21/25H04N21/45H04N21/466H04N21/475H04N21/482
CPCH04N21/4755H04N7/163H04N21/4532H04N21/4826H04N21/252H04N21/4662H04N21/4668H04N21/466
Inventor S·V·R·古特塔K·库拉帕蒂
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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