专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20170193539A1 TIME-VALUE ESTIMATION METHOD AND SYSTEM FOR SHARING ENVIRONMENT 审中-公开
公开(公告)号：US20170193539A1
公开(公告)日：2017-07-06
申请号：US14984812
申请日：2015-12-30
申请人： TCL RESEARCH AMERICA INC.
发明人： MENGWEN LIU , LIFAN GUO , HAOHONG WANG
IPC分类号： G06Q30/02 , G06Q30/06 , H04L29/08
CPC分类号： G06Q30/0206 , G06Q30/0645 , H04L67/10
摘要： The present disclosure provides a time-value estimation method for sharing environment, including obtaining time-values of a plurality of shared items from a sharing platform. A time-value is a time duration for the shared item to be shared or traded. Further, a plurality of features of the plurality of shared items from the sharing platform may be extracted. The features may include objective-level features related to a specific item and subjective-level features related to an owner of the specific item. A time-value model may be trained to obtain a time-value estimation function based on the time-values of the plurality of shared items and the plurality of features of the plurality of shared items. The method may further include estimating a time-value of an item in the sharing platform based on the plurality of features of the item and the time-value estimation function.

2. 发明申请

US20170169351A1 HETEROGENOUS NETWORK (R-KNOWLEDGE) FOR BRIDGING USERS AND APPS VIA RELATIONSHIP LEARNING 审中-公开
公开(公告)号：US20170169351A1
公开(公告)日：2017-06-15
申请号：US14965280
申请日：2015-12-10
申请人： TCL RESEARCH AMERICA INC.
发明人： LIFAN GUO , HAOHONG WANG
IPC分类号： G06N7/00 , G06N99/00
CPC分类号： G06N7/005 , G06N3/02 , G06N5/022 , G06N20/00
摘要： The present invention provides a method a method for learning and using relationships among users and apps on a mobile device. The method includes collecting user profile information and app profile information on the mobile device and obtaining ontology knowledge on contexts and relationships. The user profile information is associated with users including one or more owners of the mobile device and one or more people whose information have been accessed on the mobile device. The method further includes generating a network model based on the user profile information, the app profile information and the ontology knowledge. The network model is a heterogeneous information network model that links the users and the apps. Further, information based on the generated network model are outputted, which at least one of a role of a user, a relationship between two apps or app functions, and a recommended apps list.

3. 发明申请

US20180039908A1 EXPERIENCE-AWARE ANOMALY PROCESSING SYSTEM AND METHOD 审中-公开
公开(公告)号：US20180039908A1
公开(公告)日：2018-02-08
申请号：US15231492
申请日：2016-08-08
申请人： TCL RESEARCH AMERICA INC.
发明人： HAOHONG WANG , XIAOBO REN , WENQIANG BO , GUANGHAN NING , LIFAN GUO
IPC分类号： G06N99/00
CPC分类号： G06N20/00 , G06N5/045 , G06N7/005 , G08B13/19613 , G08B25/08
摘要： An experience-aware anomaly processing system and a method for an experience-aware anomaly processing system are provided. The experience-aware anomaly processing system comprises an anomaly detection module configured to receive geographic location data with corresponding time information of a target object, and analyze target object behavior based on the geographic location data with corresponding time information of the target object; a user feedback module configured to receive user feedback from a user and model user feedback behavior when the user receives an alarm message indicating the target object is abnormal; and a decision module configured to receive user setting from the user, and make a detection decision through fusing target object behavior information corresponding to the target object behavior, user feedback behavior information corresponding to the user feedback behavior, and the user setting.

4. 发明申请

US20160328403A1 METHOD AND SYSTEM FOR APP SEARCH ENGINE LEVERAGING USER REVIEWS 审中-公开
标题翻译： APP搜索引擎用户评论的方法和系统
公开(公告)号：US20160328403A1
公开(公告)日：2016-11-10
申请号：US14706631
申请日：2015-05-07
申请人： TCL RESEARCH AMERICA INC.
发明人： DAE HOON PARK , MENGWEN LIU , LIFAN GUO
IPC分类号： G06F17/30
CPC分类号： G06F16/951 , G06F16/3331
摘要： A method for an app search engine leveraging user reviews is provided. The method includes receiving an app search query from a user, determining a plurality of relevant apps based on the received app search query, and extracting app descriptions and user reviews associated with the plurality of relevant apps from an app database. The method also includes preprocessing the extracted app descriptions and user reviews of each of the plurality of relevant apps to generate a text corpus and creating a topic-based language model for each of the plurality of relevant apps based on the generated text corpus. Further, the method includes ranking a list of relevant apps using the topic-based language model and providing the ranked app list for the user.
摘要翻译：提供了一种利用用户评论的应用搜索引擎的方法。该方法包括从用户接收应用搜索查询，基于接收到的应用搜索查询确定多个相关应用，以及从应用数据库提取与多个相关应用相关联的应用描述和用户评论。该方法还包括对所提取的多个相关应用的每个的应用程序描述和用户评论进行预处理，以生成文本语料库，并且基于生成的文本语料库为多个相关应用程序中的每一个创建基于主题的语言模型。此外，该方法包括使用基于主题的语言模型来排列相关应用的列表，并为用户提供排名的应用列表。

5. 发明申请

US20170193585A1 LEAST-ASK: CONVERSATIONAL RECOMMENDER SYSTEM WITH MINIMIZED USER INTERACTION 审中-公开
公开(公告)号：US20170193585A1
公开(公告)日：2017-07-06
申请号：US14985608
申请日：2015-12-31
申请人： TCL RESEARCH AMERICA INC.
发明人： LIFAN GUO , HAOHONG WANG
IPC分类号： G06Q30/06 , G06F17/30
CPC分类号： G06Q30/0631 , G06F17/30867
摘要： A method for a conversational recommender system includes receiving at least one user preference from a user, generating an abstract explanation reflecting the at least one user preference and based on the abstract explanation, and retrieving a list of items to be evaluated by the user from an item database. The items on the list have a relevance with the user preference. The method further includes determining an initial ranking order of the items to be evaluated by the user, and ranking the items to be evaluated by the user based on a random walk algorithm and the initial ranking order. Items not ranked are remaining items. The method further includes receiving a user feedback of the ranked item, and re-ranking the remaining items based on the user feedback of the ranked items and the random walk algorithm.

6. 发明申请

US20170193370A1 METHOD AND SYSTEM FOR FUNC-BASED EXPERIENCE FRAMEWORK WITH CROSS-USER INTELLIGENCE 审中-公开
公开(公告)号：US20170193370A1
公开(公告)日：2017-07-06
申请号：US14985871
申请日：2015-12-31
申请人： TCL RESEARCH AMERICA INC.
发明人： HAOHONG WANG , YIZHOU ZANG , JIANLIANG YI , ZIJU FENG , LIFAN GUO
IPC分类号： G06N5/02 , H04L29/08
CPC分类号： G06N5/025 , H04L67/02 , H04L67/10
摘要： A method is provided for providing desired application usage experience to a user on a user device. The method includes automatically converting a plurality of App pages into FUNC descriptors to be stored, wherein each FUNC descriptor includes at least non-functional properties of a FUNC, capability of the FUNC, and an interface of the FUNC to invoke the FUNC. The method also includes obtaining at least one user intention inputted by the user; determining at least one FUNC descriptor from the FUNC descriptors for fulfilling the user intention; recommending to the user with at least one FUNC corresponding to the at least one FUNC descriptor by rendering the at least one FUNC descriptor on the user device; and invoking the at least one FUNC directly from the user device without going through a launching page of an App page providing the at least one FUNC.

7. 发明申请

US20150095330A1 ENHANCED RECOMMENDER SYSTEM AND METHOD 审中-公开
标题翻译：增强推荐系统和方法
公开(公告)号：US20150095330A1
公开(公告)日：2015-04-02
申请号：US14042726
申请日：2013-10-01
申请人： TCL RESEARCH AMERICA INC.
发明人： LIFAN GUO , HAOHONG WANG
IPC分类号： G06F17/30
CPC分类号： G06Q30/0631 , G06F16/335
摘要： An enhanced recommender method is provided. The method includes discovering customer features from customer behavior and customer profile and generating an initial recommender list based on the customer features and items information. The method also includes generating item social reputation (ISR) for the customer behavior and the customer profile from an online review repository and generating final recommendation results based on the initial recommender list and the item social reputation.
摘要翻译：提供了一种增强推荐方法。该方法包括从客户行为和客户简档中发现客户特征，并根据客户特征和项目信息生成初始推荐者列表。该方法还包括从在线审查存储库为客户行为生成项目社会信誉（ISR）和客户简档，并根据初始推荐者列表和项目社会声誉生成最终推荐结果。

8. 发明申请

US20180082184A1 CONTEXT-AWARE CHATBOT SYSTEM AND METHOD 审中-公开
公开(公告)号：US20180082184A1
公开(公告)日：2018-03-22
申请号：US15269551
申请日：2016-09-19
申请人： TCL RESEARCH AMERICA INC.
发明人： LIFAN GUO , HAOHONG WANG
IPC分类号： G06N5/02 , G10L15/26 , G06F17/27 , G10L15/22
CPC分类号： G10L15/22 , G06F17/2775 , G06F17/2785 , G06F17/279 , G06F17/2881 , G06N3/0445 , G06N5/04 , G10L2015/226
摘要： A context-aware chatbot method and system are provided. The context-aware chatbot method comprises receiving a user's voice; converting the user's voice to a question to be answered; determining a question type of the question to be answered; generating at least one answer to the question based on a context-aware neural conversation model; validating the answer generated by the context-aware neural conversation model; and delivering the answer validated to the user. The context-aware neural conversation model takes contextual information of the question into consideration, and decomposes the contextual information of the question into a plurality of high dimension vectors.

9. 发明申请

US20170161689A1 PERSONALIZED FUNC SEQUENCE SCHEDULING METHOD AND SYSTEM 审中-公开
公开(公告)号：US20170161689A1
公开(公告)日：2017-06-08
申请号：US14962735
申请日：2015-12-08
申请人： TCL RESEARCH AMERICA INC.
发明人： BO SONG , LIFAN GUO , HAOHONG WANG
IPC分类号： G06Q10/10 , G06F17/30 , H04L29/08
CPC分类号： G06Q10/1095 , G06F16/90324 , H04L67/22 , H04L67/306
摘要： A method is provided for recommending a desired func sequence schedule to a user. The method includes obtaining at least one user intention inputted by the user; creating a func sequence including a plurality of funcs for fulfilling the user intention; and determining user preference on scheduling of the plurality of funcs in the func sequence. The method also includes determining a dependency relationship among the plurality of funcs in the func sequence; and determining scheduling constraints to the scheduling of the plurality of funcs in the func sequence. The method further includes, based on the user preference, the dependency relationship, and the scheduling constraints, performing an optimization process to determine a desired schedule for the plurality of funcs in the func sequence to fulfill the user intention; and recommending the func sequence with the desired schedule to the user.

10. 发明申请

US20170061482A1 FOCAL-POINT BASED RECOMMENDATION METHOD AND SYSTEM 审中-公开
标题翻译：基于FOCAL-POINT的推荐方法与系统
公开(公告)号：US20170061482A1
公开(公告)日：2017-03-02
申请号：US14833160
申请日：2015-08-24
申请人： TCL RESEARCH AMERICA INC.
发明人： LIFAN GUO , GUANHONG LI , HAOHONG WANG
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0255 , G06Q30/0257 , G06Q30/0267
摘要： The present invention provides a focal-point based recommendation method and system. The method includes collecting textual information displayed on a screen of the mobile terminal; identifying one or more focal points on the screen from a user; collecting contextual information of the mobile terminal; and suggesting one or more point-of-interests (POIs) to the user based on the textual information, the focal points and the contextual information. Further, when the user selects one or more POIs, based on the selected POIs, one or more contents are recommended to the user. The contents include at least one of an app content and an app function.
摘要翻译：本发明提供一种基于焦点的推荐方法和系统。该方法包括收集显示在移动终端的屏幕上的文本信息; 从用户识别屏幕上的一个或多个焦点; 收集移动终端的上下文信息; 并基于文本信息，焦点和上下文信息向用户建议一个或多个兴趣点（POI）。此外，当用户基于所选择的POI选择一个或多个POI时，向用户推荐一个或多个内容。内容包括应用内容和应用功能中的至少一个。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式