公开(公告)号：US20070219984A1

公开(公告)日：2007-09-20

申请号：US11682533

申请日：2007-03-06

申请人： Murali Aravamudan ,  Ajit Rajasekharan ,  Kajamalai Ramakrishnan

发明人： Murali Aravamudan ,  Ajit Rajasekharan ,  Kajamalai Ramakrishnan

IPC分类号： G06F17/30

CPC分类号： G06F17/3005 ,  G06F17/30029 ,  G06F17/30035 ,  G06F17/30442 ,  G06F17/30522 ,  G06F17/3053 ,  G06F17/30536 ,  G06F17/30554 ,  G06F17/30595 ,  G06F17/30699 ,  G06F17/30702 ,  G06F17/30752 ,  G06F17/30864 ,  G06F17/30867 ,  H04N21/44222 ,  H04N21/4828 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99937 ,  Y10S707/99943 ,  Y10S707/99945

摘要： A method of selecting and presenting content based on a comparison of preference signature from multiple users is provided. The method includes providing a set of content items having associated descriptive terms and receiving search input from users. The method includes presenting a subset of content items, receiving content selection actions, and learning users' preferences, wherein the preferences are weighted based on content items usage so that the user preferences are specified as a set of descriptive terms and associated weights. The method includes identifying users with similar preferences by comparing sets of learned user preferences and presenting content items to at least one user of the plurality of users by identifying for presentation content items selected by users identified as having learned user preferences that are similar to the learned user preferences of said at least one user.

摘要翻译： 提供了一种基于来自多个用户的偏好签名的比较来选择和呈现内容的方法。 该方法包括提供一组具有相关联的描述术语的内容项，并从用户接收搜索输入。 所述方法包括呈现内容项的子集，接收内容选择动作和学习用户的偏好，其中基于内容项使用对偏好进行加权，使得用户偏好被指定为一组描述性术语和相关联的权重。 该方法包括通过将所学习的用户偏好集合与多个用户中的至少一个用户进行比较来识别用户所选择的呈现内容项目来识别具有类似于所学习的用户偏好的用户偏好的用户，从而识别具有相似偏好的用户 所述至少一个用户的用户偏好。

公开(公告)号：US20070219985A1

公开(公告)日：2007-09-20

申请号：US11682599

申请日：2007-03-06

申请人： Murali ARAVAMUDAN ,  Ajit RAJASEKHARAN ,  Kajamalai RAMAKRISHNAN

发明人： Murali ARAVAMUDAN ,  Ajit RAJASEKHARAN ,  Kajamalai RAMAKRISHNAN

IPC分类号： G06F17/30

CPC分类号： G06F17/3005 ,  G06F17/30029 ,  G06F17/30035 ,  G06F17/30442 ,  G06F17/30522 ,  G06F17/3053 ,  G06F17/30536 ,  G06F17/30554 ,  G06F17/30595 ,  G06F17/30699 ,  G06F17/30702 ,  G06F17/30752 ,  G06F17/30864 ,  G06F17/30867 ,  H04N21/44222 ,  H04N21/4828 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99937 ,  Y10S707/99943 ,  Y10S707/99945

摘要： A method of selecting and presenting content based on context-sensitive learned user preferences is provided. The method includes providing a set of content items having descriptive terms. The method includes receiving user input for identifying items and, in response thereto, presenting a subset of items. The method includes receiving user selections of said items and analyzing the descriptive terms of those items to learn the user's content preferences. The method includes determining the context in which the user performed the selections and associating those contexts with the user content preferences learned from the corresponding user selections. The method includes, in response to subsequent user input, determining a context of said subsequent input and selecting and ordering a collection of items based on comparing those items' descriptive terms with the user's learned content preferences associated with the determined context in which the user entered the subsequent input.

摘要翻译： 提供了基于上下文敏感的学习用户偏好来选择和呈现内容的方法。 该方法包括提供具有描述性术语的一组内容项。 该方法包括接收用于识别项目的用户输入，并且响应于此呈现项目的子集。 该方法包括接收用户对所述项目的选择并分析这些项目的描述性条款以了解用户的内容偏好。 该方法包括确定用户执行选择并将这些上下文与从相应的用户选择学习的用户内容偏好相关联的上下文。 该方法包括响应于随后的用户输入，确定所述后续输入的上下文，并且基于将这些项目的描述性词与与用户输入的所确定的上下文相关联的用户的学习内容偏好进行比较来选择和排序项目集合 随后的输入。