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1. 发明申请

US20090077000A1 METHOD AND SYSTEM TO PREDICT AND RECOMMEND FUTURE GOAL-ORIENTED ACTIVITY 有权
标题翻译：预测和推荐未来目标活动的方法和系统
公开(公告)号：US20090077000A1
公开(公告)日：2009-03-19
申请号：US11857386
申请日：2007-09-18
申请人： James M.A. Begole , Victoria M.E. Bellotti , Nicolas B. Ducheneaut , Robert R. Price , Kurt E. Partridge , Michael Roberts , Ed H. Chi
发明人： James M.A. Begole , Victoria M.E. Bellotti , Nicolas B. Ducheneaut , Robert R. Price , Kurt E. Partridge , Michael Roberts , Ed H. Chi
IPC分类号： G06N5/02
CPC分类号： G06Q10/10 , G06Q30/02
摘要： One embodiment of the present invention provides a method for recommending activities to a user. During operation, the system determines an activity-type distribution based on the user's personal profile and/or population prior information, thereby facilitating prediction of future activities for the user. The system further searches for and receives one or more activities based on the activity-type distribution. The system then scores each received activity and recommends a number of activities to be performed by the user in the future and a number of corresponding venues, based on the activity-type distribution and the weight distribution.
摘要翻译：本发明的一个实施例提供了一种向用户推荐活动的方法。在操作期间，系统基于用户的个人资料和/或人口先验信息确定活动类型分布，从而有助于预测用户的未来活动。该系统基于活动类型分布进一步搜索并接收一个或多个活动。然后，系统对每个接收的活动进行评分，并且基于活动类型分布和权重分布，推荐将来由用户执行的一些活动和若干相应的场馆。

2. 发明申请

US20090076997A1 RECOMMENDER SYSTEM WITH AD-HOC, DYNAMIC MODEL COMPOSITION 有权
标题翻译：具有AD-HOC，动态模型组合的推荐系统
公开(公告)号：US20090076997A1
公开(公告)日：2009-03-19
申请号：US11855547
申请日：2007-09-14
申请人： Nicolas B. Ducheneaut , Kurt E. Partridge , James M.A. Begole , Robert R. Price
发明人： Nicolas B. Ducheneaut , Kurt E. Partridge , James M.A. Begole , Robert R. Price
IPC分类号： G06N5/00 , G06N5/02 , G06F17/00
CPC分类号： G06Q30/02
摘要： One embodiment of the present invention provides recommender system for generating a recommendation of an item by combining a set of utility models adaptively to facilitate a decision-making process. The system includes a utility model database containing the set of utility models and a query module for receiving at least one query about the item from a querying entity. The system also includes a rule engine to specify a subset of utility models to be applied to the item and to specify a weight function of the specified utility models. Further included in the system is a set generator coupled to the utility model database, the query module, and the rule engine. The set generator computes a set of ratings by applying each of the utility model in the subset to the item and generates an overall rating for the item based on the weight function. The system further a communication module to return the overall rating.
摘要翻译：本发明的一个实施例提供了一种推荐系统，用于通过自适应地组合一组实用新型来产生项目的推荐，以促进决策过程。该系统包括实用新型数据库，该实用新型数据库包含一组实用新型，以及用于从查询实体接收关于该项目的至少一个查询的查询模块。该系统还包括规则引擎，用于指定要应用于项目的实用新型的子集，并指定指定的实用新型的权重函数。系统中还包括一个耦合到实用新型数据库，查询模块和规则引擎的集合生成器。集合生成器通过将子集中的每个实用新型应用于项目来计算一组评级，并基于权重函数生成项目的总体评级。该系统还提供一个通信模块来返回整体评级。

3. 发明申请

US20130218825A1 AUTOMATICALLY TRIGGERING PREDICTIONS IN RECOMMENDATION SYSTEMS BASED ON AN ACTIVITY-PROBABILITY THRESHOLD 有权
标题翻译：基于活动可靠性阈值的建议系统自动触发预测
公开(公告)号：US20130218825A1
公开(公告)日：2013-08-22
申请号：US13402751
申请日：2012-02-22
申请人： Rui Zhang , Kurt E. Partridge , Robert R. Price , James M.A. Begole , Maurice K. Chu
发明人： Rui Zhang , Kurt E. Partridge , Robert R. Price , James M.A. Begole , Maurice K. Chu
IPC分类号： G06N7/02
CPC分类号： G06Q10/04 , G06Q30/02
摘要： A recommender system determines a probability threshold for an activity-prediction model, and uses the probability threshold to predict whether a user is performing a target activity. To determine the probability threshold, the system computes a set of activity probabilities based on contextual information for a set of historical activities, and based on an activity-prediction model for a target activity. The system then compares a set of probability thresholds with the set of activity probabilities to determine a prediction success rate for each probability threshold. The system computes a utility score for each probability threshold based on the prediction success rates and a utility function, and selects a probability threshold whose utility score is optimal amongst the utility scores of the set of thresholds and greater than or equal to a baseline utility score. The system then assigns the probability threshold to the activity-prediction model.
摘要翻译：推荐系统确定活动预测模型的概率阈值，并使用概率阈值来预测用户是否正在执行目标活动。为了确定概率阈值，系统基于一组历史活动的上下文信息，并且基于目标活动的活动预测模型来计算一组活动概率。然后，系统将一组概率阈值与活动概率集合进行比较，以确定每个概率阈值的预测成功率。该系统基于预测成功率和效用函数来计算每个概率阈值的效用得分，并且选择一个概率阈值，其效用评分在阈值集合的效用评分之间是最佳的，并且大于或等于基准效用得分。系统然后将概率阈值分配给活动预测模型。

4. 发明授权

US07882056B2 Method and system to predict and recommend future goal-oriented activity 有权
标题翻译：预测和推荐未来面向目标的活动的方法和系统
公开(公告)号：US07882056B2
公开(公告)日：2011-02-01
申请号：US11857386
申请日：2007-09-18
申请人： James M. A. Begole , Victoria M. E. Bellotti , Nicolas B. Ducheneaut , Robert R. Price , Kurt E. Partridge , Michael Roberts , Ed H. Chi
发明人： James M. A. Begole , Victoria M. E. Bellotti , Nicolas B. Ducheneaut , Robert R. Price , Kurt E. Partridge , Michael Roberts , Ed H. Chi
IPC分类号： G06N5/00
CPC分类号： G06Q10/10 , G06Q30/02
摘要： One embodiment of the present invention provides a method for recommending activities to a user. During operation, the system determines an activity-type distribution based on the user's personal profile and/or population prior information, thereby facilitating prediction of future activities for the user. The system further searches for and receives one or more activities based on the activity-type distribution. The system then scores each received activity and recommends a number of activities to be performed by the user in the future and a number of corresponding venues, based on the activity-type distribution and the weight distribution.
摘要翻译：本发明的一个实施例提供了一种向用户推荐活动的方法。在操作期间，系统基于用户的个人资料和/或人口先验信息确定活动类型分布，从而有助于预测用户的未来活动。该系统基于活动类型分布进一步搜索并接收一个或多个活动。然后，系统对每个接收的活动进行评分，并且基于活动类型分布和权重分布，推荐将来由用户执行的一些活动和若干相应的场馆。

5. 发明申请

US20110137927A1 METHOD AND APPARATUS FOR AUTOMATICALLY INCORPORATING HYPOTHETICAL CONTEXT INFORMATION INTO RECOMMENDATION QUERIES 有权
标题翻译：将自动上下文信息纳入建议查询的方法和装置
公开(公告)号：US20110137927A1
公开(公告)日：2011-06-09
申请号：US13028020
申请日：2011-02-15
申请人： Kurt E. Partridge , Robert R. Price , Nicolas B. Ducheneaut
发明人： Kurt E. Partridge , Robert R. Price , Nicolas B. Ducheneaut
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , H04W4/029
摘要： A system facilitates automatically determining the hypothetical context information or the distribution of hypothetical contexts. During operation, the system receives a request from a user for one or more recommendations. The system also receives a current context substantially associated with the request. The system then determines a hypothetical context for the request, wherein the hypothetical context may be determined by considering several sources of information, including but not limited to the current context, past contexts, and relationships between the current context and past contexts. Next, the system determines one or more recommendations for the user based on the hypothetical context. Finally, the system returns the one or more recommendations to the user.
摘要翻译：系统有助于自动确定假设上下文信息或假设上下文的分布。在操作期间，系统从用户接收一个或多个建议的请求。该系统还接收与该请求基本相关联的当前上下文。然后，该系统确定该请求的假设上下文，其中假设上下文可以通过考虑若干信息来确定，包括但不限于当前上下文，过去上下文以及当前上下文与过去上下文之间的关系。接下来，系统基于假设上下文确定用户的一个或多个建议。最后，系统将一个或多个建议返回给用户。

6. 发明授权

US08874605B2 Method and apparatus for automatically incorporating hypothetical context information into recommendation queries 有权
标题翻译：将假设上下文信息自动并入推荐查询的方法和装置
公开(公告)号：US08874605B2
公开(公告)日：2014-10-28
申请号：US13028020
申请日：2011-02-15
申请人： Kurt E. Partridge , Robert R. Price , Nicolas B. Ducheneaut
发明人： Kurt E. Partridge , Robert R. Price , Nicolas B. Ducheneaut
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , H04W4/029
摘要： A system facilitates automatically determining the hypothetical context information or the distribution of hypothetical contexts. During operation, the system receives a request from a user for one or more recommendations. The system also receives a current context substantially associated with the request. The system then determines a hypothetical context for the request, wherein the hypothetical context may be determined by considering several sources of information, including but not limited to the current context, past contexts, and relationships between the current context and past contexts. Next, the system determines one or more recommendations for the user based on the hypothetical context. Finally, the system returns the one or more recommendations to the user.
摘要翻译：系统有助于自动确定假设上下文信息或假设上下文的分布。在操作期间，系统从用户接收一个或多个建议的请求。该系统还接收与该请求基本相关联的当前上下文。然后，该系统确定该请求的假设上下文，其中假设上下文可以通过考虑若干信息来确定，包括但不限于当前上下文，过去上下文以及当前上下文与过去上下文之间的关系。接下来，系统基于假设上下文确定用户的一个或多个建议。最后，系统将一个或多个建议返回给用户。

7. 发明申请

US20090077057A1 MIXED-MODEL RECOMMENDER FOR LEISURE ACTIVITIES 有权
标题翻译：用于休闲活动的混合模式推荐
公开(公告)号：US20090077057A1
公开(公告)日：2009-03-19
申请号：US11856913
申请日：2007-09-18
申请人： Nicolas B. Ducheneaut , Robert R. Price , Kurt E. Partridge
发明人： Nicolas B. Ducheneaut , Robert R. Price , Kurt E. Partridge
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： One embodiment of the present invention provides a method for recommending leisure activities to a user. During operation, the system receives at least one query for leisure activities. The system then determines a collaborative filtering score of a candidate activity based on a collaborative filtering model, a soft query score for the candidate activity based on a soft query model, a content preference score for the candidate activity based on a content preference model and the user's past behavior, and a distance score for the candidate activity based on a distance model. Next, the system generates a composite score for the candidate activity by calculating a weighted average of the collaborative filtering score, the soft query score, the content preference score, and the distance score. The system further returns a recommendation list containing the activities with the highest composite scores.
摘要翻译：本发明的一个实施例提供了一种向用户推荐休闲活动的方法。在运营期间，系统至少收到一个休闲活动查询。然后，系统基于协同过滤模型，基于软查询模型的候选活动的软查询分数，基于内容偏好模型的候选活动的内容偏好分数来确定候选活动的协作过滤分数，以及用户的过去行为以及基于距离模型的候选活动的距离得分。接下来，系统通过计算协同过滤分数，软查询分数，内容偏好分数和距离分数的加权平均来生成候选活动的综合分数。该系统进一步返回包含具有最高综合得分的活动的推荐列表。

8. 发明授权

US07904530B2 Method and apparatus for automatically incorporating hypothetical context information into recommendation queries 有权
标题翻译：将假设上下文信息自动并入推荐查询的方法和装置
公开(公告)号：US07904530B2
公开(公告)日：2011-03-08
申请号：US12021623
申请日：2008-01-29
申请人： Kurt E. Partridge , Robert R. Price , Nicolas B. Ducheneaut
发明人： Kurt E. Partridge , Robert R. Price , Nicolas B. Ducheneaut
IPC分类号： G06F15/16
CPC分类号： G06F17/30867 , H04W4/029
摘要： A system facilitates automatically determining the hypothetical context information or the distribution of hypothetical contexts. During operation, the system receives a request from a user for one or more recommendations. The system also receives a current context substantially associated with the request. The system then determines a hypothetical context for the request, wherein the hypothetical context may be determined by considering several sources of information, including but not limited to the current context, past contexts, and relationships between the current context and past contexts. Next, the system determines one or more recommendations for the user based on the hypothetical context. Finally, the system returns the one or more recommendations to the user.
摘要翻译：系统有助于自动确定假设上下文信息或假设上下文的分布。在操作期间，系统从用户接收一个或多个建议的请求。该系统还接收与该请求基本相关联的当前上下文。然后，该系统确定该请求的假设上下文，其中假设上下文可以通过考虑若干信息来确定，包括但不限于当前上下文，过去上下文以及当前上下文与过去上下文之间的关系。接下来，系统基于假设上下文确定用户的一个或多个建议。最后，系统将一个或多个建议返回给用户。

9. 发明授权

US07836001B2 Recommender system with AD-HOC, dynamic model composition 有权
标题翻译：推荐系统采用AD-HOC，动态模型组成
公开(公告)号：US07836001B2
公开(公告)日：2010-11-16
申请号：US11855547
申请日：2007-09-14
申请人： Nicolas B. Ducheneaut , Kurt E. Partridge , James M. A. Begole , Robert R. Price
发明人： Nicolas B. Ducheneaut , Kurt E. Partridge , James M. A. Begole , Robert R. Price
IPC分类号： G06F17/00 , G06N5/00 , G06N5/02
CPC分类号： G06Q30/02
摘要： One embodiment of the present invention provides recommender system for generating a recommendation of an item by combining a set of utility models adaptively to facilitate a decision-making process. The system includes a utility model database containing the set of utility models and a query module for receiving at least one query about the item from a querying entity. The system also includes a rule engine to specify a subset of utility models to be applied to the item and to specify a weight function of the specified utility models. Further included in the system is a set generator coupled to the utility model database, the query module, and the rule engine. The set generator computes a set of ratings by applying each of the utility model in the subset to the item and generates an overall rating for the item based on the weight function. The system further a communication module to return the overall rating.
摘要翻译：本发明的一个实施例提供了一种推荐系统，用于通过自适应地组合一组实用新型来产生项目的推荐，以促进决策过程。该系统包括实用新型数据库，该实用新型数据库包含一组实用新型，以及用于从查询实体接收关于该项目的至少一个查询的查询模块。该系统还包括规则引擎，用于指定要应用于项目的实用新型的子集，并指定指定的实用新型的权重函数。系统中还包括一个耦合到实用新型数据库，查询模块和规则引擎的集合生成器。集合生成器通过将子集中的每个实用新型应用于项目来计算一组评级，并且基于权重函数生成该项目的总体评级。该系统还提供一个通信模块来返回整体评级。

10. 发明申请

US20090193099A1 METHOD AND APPARATUS FOR AUTOMATICALLY INCORPORATING HYPOTHETICAL CONTEXT INFORMATION INTO RECOMMENDATION QUERIES 有权
标题翻译：将自动上下文信息纳入建议查询的方法和装置
公开(公告)号：US20090193099A1
公开(公告)日：2009-07-30
申请号：US12021623
申请日：2008-01-29
申请人： Kurt E. Partridge , Robert R. Price , Nicolas B. Ducheneaut
发明人： Kurt E. Partridge , Robert R. Price , Nicolas B. Ducheneaut
IPC分类号： G06F15/16
CPC分类号： G06F17/30867 , H04W4/029
摘要： A system facilitates automatically determining the hypothetical context information or the distribution of hypothetical contexts. During operation, the system receives a request from a user for one or more recommendations. The system also receives a current context substantially associated with the request. The system then determines a hypothetical context for the request, wherein the hypothetical context may be determined by considering several sources of information, including but not limited to the current context, past contexts, and relationships between the current context and past contexts. Next, the system determines one or more recommendations for the user based on the hypothetical context. Finally, the system returns the one or more recommendations to the user.
摘要翻译：系统有助于自动确定假设上下文信息或假设上下文的分布。在操作期间，系统从用户接收一个或多个建议的请求。该系统还接收与该请求基本相关联的当前上下文。然后，该系统确定该请求的假设上下文，其中假设上下文可以通过考虑若干信息来确定，包括但不限于当前上下文，过去上下文以及当前上下文与过去上下文之间的关系。接下来，系统基于假设上下文确定用户的一个或多个建议。最后，系统将一个或多个建议返回给用户。

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