公开(公告)号：US10592575B2

公开(公告)日：2020-03-17

申请号：US15228847

申请日：2016-08-04

Applicant: Veveo, Inc.

Inventor： Rakesh Barve ,  Murali Aravamudan ,  Sashikumar Venkataraman ,  Girish Welling

IPC: G06F7/00 ,  G06F16/955 ,  G06F16/84 ,  G06F16/2457 ,  G06F17/27 ,  G06F17/28 ,  G06F17/21

Abstract: A method of inferring user intent in search input in a conversational interaction system is disclosed. A method of inferring user intent in a search input includes providing a user preference signature that describes preferences of the user, receiving search input from the user intended by the user to identify at least one desired item, and determining that a portion of the search input contains an ambiguous identifier. The ambiguous identifier is intended by the user to identify, at least in part, a desired item. The method further includes inferring a meaning for the ambiguous identifier based on matching portions of the search input to the preferences of the user described by the user preference signature and selecting items from a set of content items based on comparing the search input and the inferred meaning of the ambiguous identifier with metadata associated with the content items.

公开(公告)号：US20190146990A1

公开(公告)日：2019-05-16

申请号：US16248308

申请日：2019-01-15

Applicant: VEVEO, INC.

Inventor： Murali Aravamudan ,  Ajit Rajasekharan ,  Kajamalai G. Ramakrishnan

IPC: G06F16/438 ,  G06F16/2457 ,  G06F16/9535 ,  H04N21/442 ,  H04N21/482 ,  G06F16/248 ,  G06F16/28 ,  G06F16/2458 ,  G06F16/2453 ,  G06F16/951 ,  G06F16/68 ,  G06F16/435 ,  G06F16/335

CPC classification number: G06F16/438 ,  G06F16/2453 ,  G06F16/2457 ,  G06F16/24578 ,  G06F16/2462 ,  G06F16/248 ,  G06F16/284 ,  G06F16/335 ,  G06F16/337 ,  G06F16/435 ,  G06F16/437 ,  G06F16/686 ,  G06F16/951 ,  G06F16/9535 ,  H04N21/44222 ,  H04N21/4828 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99937 ,  Y10S707/99943 ,  Y10S707/99945

Abstract: A method of selecting and presenting content on a first system based on user preferences learned on a second system is provided. The method includes receiving a user's input for identifying items of the second content system and, in response thereto, presenting a subset of items of the second content system and receiving the user's selection actions thereof. The method includes analyzing the selected items to learn the user's content preferences for the content of the second content system and determining a relationship between the content of the first and second content systems to determine preferences relevant to items of the first content system. The method includes, in response subsequent user input for items of the first content system, selecting and ordering a collection of items of the first content system based on the user's learned content preferences determined to be relevant to the items of the first content system.

公开(公告)号：US20190130899A1

公开(公告)日：2019-05-02

申请号：US16171093

申请日：2018-10-25

Applicant: Veveo, Inc.

Inventor： Murali Aravamudan ,  Daren Gill ,  Sashikumar Venkataraman ,  Vineet Agarwal ,  Ganesh Ramamoorthy

IPC: G10L15/187 ,  G06F16/683 ,  G10L15/18

Abstract: A method for using speech disfluencies detected in speech input to assist in interpreting the input is provided. The method includes providing access to a set of content items with metadata describing the content items, and receiving a speech input intended to identify a desired content item. The method further includes detecting a speech disfluency in the speech input and determining a measure of confidence of a user in a portion of the speech input following the speech disfluency. If the confidence measure is lower than a threshold value, the method includes determining an alternative query input based on replacing the portion of the speech input following the speech disfluency with another word or phrase. The method further includes selecting content items based on comparing the speech input, the alternative query input (when the confidence measure is low), and the metadata associated with the content items.

公开(公告)号：US20170017719A1

公开(公告)日：2017-01-19

申请号：US15277288

申请日：2016-09-27

Applicant: Veveo, Inc.

Inventor： Murali Aravamudan ,  Rakesh Barve ,  Sashikumar Venkataraman ,  Vineet Agarwal ,  Abhijit Savarkar ,  Ganesh Ramamoorthy ,  Ahmed Nizam Mohaideen Pathurudeen ,  K China Srinivasulu Reddy

IPC: G06F17/30

CPC classification number: G06F16/335 ,  G06F16/24 ,  G06F16/3322 ,  G06F16/3328 ,  G06F16/367 ,  G06F16/90324

Abstract: A method of disambiguating user intent in conversational interactions for information retrieval is disclosed. The method includes providing access to a set of content items with metadata describing the content items and providing access to structural knowledge showing semantic relationships and links among the content items. The method further includes providing a user preference signature, receiving a first input from the user that is intended by the user to identify at least one desired content item, and determining an ambiguity index of the first input. If the ambiguity index is high, the method determines a query input based on the first input and at least one of the structural knowledge, the user preference signature, a location of the user, and the time of the first input and selects a content item based on comparing the query input and the metadata associated with the content item.

Abstract translation: 公开了一种在用于信息检索的对话交互中消除用户意图的歧义的方法。 该方法包括使用描述内容项的元数据提供对一组内容项的访问，并且提供对显示内容项之间的语义关系和链接的结构知识的访问。 该方法还包括提供用户偏好签名，从用户接收由用户打算识别至少一个所需内容项目的第一输入，以及确定第一输入的模糊度索引。 如果模糊度指数高，则该方法基于第一输入和结构知识，用户偏好签名，用户的位置以及第一输入的时间中的至少一个确定查询输入，并且选择内容项 基于与查询输入和与内容项相关联的元数据的比较。

公开(公告)号：US20160342702A1

公开(公告)日：2016-11-24

申请号：US15228847

申请日：2016-08-04

Applicant: Veveo, Inc.

Inventor： Rakesh Barve ,  Murali Aravamudan ,  Sashikumar Venkataraman ,  Girish Welling

IPC: G06F17/30 ,  G06F17/27

Abstract: A method of inferring user intent in search input in a conversational interaction system is disclosed. A method of inferring user intent in a search input includes providing a user preference signature that describes preferences of the user, receiving search input from the user intended by the user to identify at least one desired item, and determining that a portion of the search input contains an ambiguous identifier. The ambiguous identifier is intended by the user to identify, at least in part, a desired item. The method further includes inferring a meaning for the ambiguous identifier based on matching portions of the search input to the preferences of the user described by the user preference signature and selecting items from a set of content items based on comparing the search input and the inferred meaning of the ambiguous identifier with metadata associated with the content items.

Abstract translation: 公开了一种在对话交互系统中搜索输入中推断用户意图的方法。 一种在搜索输入中推断用户意图的方法包括提供描述用户偏好的用户偏好签名，从用户接收到的用户意图识别至少一个期望项目的用户接收搜索输入，以及确定搜索输入的一部分 包含一个模糊的标识符。 该模糊标识符由用户打算至少部分地识别期望的项目。 该方法还包括基于用户偏好签名描述的用户偏好的搜索输入的匹配部分以及基于比较搜索输入和推断意义从一组内容项目中选择项目来推断不明确标识符的含义 具有与内容项相关联的元数据的模糊标识符。

公开(公告)号：US09477643B2

公开(公告)日：2016-10-25

申请号：US14071168

申请日：2013-11-04

Applicant: Veveo, Inc.

Inventor： Rakesh Barve ,  Murali Aravamudan ,  Sashikumar Venkataraman ,  Girish Welling

IPC: G06F17/27 ,  G06F17/21 ,  G06F17/30 ,  G06F17/28

CPC classification number: G06F17/30882 ,  G06F17/21 ,  G06F17/27 ,  G06F17/278 ,  G06F17/2785 ,  G06F17/28 ,  G06F17/30522 ,  G06F17/30525 ,  G06F17/30914

Abstract: A method of using conversation state information in a conversational interaction system is disclosed. A method of inferring a change of a conversation session during continuous user interaction with an interactive content providing system includes receiving input from the user including linguistic elements intended by the user to identify an item, associating a linguistic element of the input with a first conversation session, and providing a response based on the input. The method also includes receiving additional input from the user and inferring whether or not the additional input from the user is related to the linguistic element associated with the conversation session. If related, the method provides a response based on the additional input and the linguistic element associated with the first conversation session. Otherwise, the method provides a response based on the second input without regard for the linguistic element associated with the first conversation session.

公开(公告)号：US09213755B2

公开(公告)日：2015-12-15

申请号：US13788265

申请日：2013-03-07

Applicant: Veveo, Inc.

Inventor： Murali Aravamudan ,  Ajit Rajasekharan ,  Kajamalai G. Ramakrishnan

IPC: G06F17/30 ,  H04N21/442

CPC classification number: 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

Abstract: 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.

Abstract translation: 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集合 随后的输入。

公开(公告)号：US09128987B2

公开(公告)日：2015-09-08

申请号：US13768450

申请日：2013-02-15

Applicant: Veveo, Inc.

Inventor： Murali Aravamudan ,  Ajit Rajasekharan ,  Kajamalai G. Ramakrishnan

IPC: G06F17/30 ,  H04N21/442 ,  H04N21/482

CPC classification number: 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

Abstract: 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.

Abstract translation: 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：US20140337381A1

公开(公告)日：2014-11-13

申请号：US14274147

申请日：2014-05-09

Applicant: Veveo, Inc.

Inventor： Murali ARAVAMUDAN ,  Sashikumar VENKATARAMAN ,  Rakesh BARVE ,  Ahmed Nizam MOHAIDEEN PATHURUDEEN

IPC: G06F17/30

CPC classification number: G06F17/30522 ,  G06F17/30861

Abstract: Systems and methods are disclosed for processing a search request received from a user. A method includes providing access to content items associated with metadata. The method includes providing information about at least one search previously performed for a user, and providing access to information describing relationships between at least one of the content items and the metadata. The method includes receiving a present input from the user intended to identify a desired content item. Upon determining that results from the previous search did not satisfy the search request from the user, the method includes determining an intent shared by the previous search and the present input based on comparing (i) the relationship information, (ii) the previous search, and (iii) the present input. The method also includes selecting and presenting a subset of content items based on comparing the shared intent and the metadata.

Abstract translation: 公开了用于处理从用户接收的搜索请求的系统和方法。 一种方法包括提供对与元数据相关联的内容项的访问。 该方法包括提供关于先前为用户执行的至少一个搜索的信息，以及提供对描述至少一个内容项和元数据之间的关系的信息的访问。 该方法包括从用户接收旨在识别所需内容项目的当前输入。 在确定来自先前搜索的结果不满足来自用户的搜索请求的情况下，该方法包括基于比较（i）关系信息，（ii）先前的搜索来确定由先前搜索和当前输入共享的意图， 和（iii）现在的输入。 该方法还包括基于比较共享意图和元数据来选择和呈现内容项的子集。

公开(公告)号：US20140108453A1

公开(公告)日：2014-04-17

申请号：US13801958

申请日：2013-03-13

Applicant: VEVEO, INC.

Inventor： Sashikumar VENKATARAMAN ,  Ahmed Nizam MOHAIDEEN PATHURUDEEN ,  K China Srinivasulu REDDY ,  Mangesh Dattatray PUJARI ,  Soumyadip MAJUMDER ,  Rakesh BARVE ,  Murali ARAVAMUDAN

IPC: G06F17/30

CPC classification number: G06F17/30693 ,  G06F17/30451 ,  G06F17/30867 ,  G06F17/30997

Abstract: A system and method of processing a search request is provided. Identification of a desired content item is based on comparing a topic of the search request to previous user input. The method includes providing access to a set of content items with metadata that describes the corresponding content items and providing information about previous searches. The method further includes receiving a present input from the user and determining a relatedness measure between the information about the previous searches and an element of the present input. If the relatedness measure is high, the method also includes selecting a subset of content items based on comparing the present input and information about the previous searches with the metadata that describes the subset of content items. Otherwise, the method includes selecting a subset of content items based on comparing the present input with the metadata that describes the subset of content items.

Abstract translation: 提供了一种处理搜索请求的系统和方法。 所需内容项的识别基于将搜索请求的主题与先前的用户输入进行比较。 该方法包括提供对具有描述相应内容项的元数据的一组内容项的访问并提供关于先前搜索的信息。 该方法还包括从用户接收当前输入并确定关于先前搜索的信息与当前输入的元素之间的相关性度量。 如果相关性度量高，则该方法还包括基于将当前输入和关于先前搜索的信息与描述内容项的子集的元数据进行比较来选择内容项的子集。 否则，该方法包括基于将当前输入与描述内容项的子集的元数据进行比较来选择内容项的子集。