System of providing suggestions based on accessible and contextual information
First Claim
1. A method of providing a suggestion to a user, comprising:
- sensing context data related to a user environment through at least one sensor of a processing device, wherein the sensed context data is modelled as a vector by generating a scene graph, the scene graph being a hierarchical data structure comprising geometrical and spatial nodes that represent a user'"'"'s current and past environments, data related to those nodes, and lists of data that the user manages;
generating a hypothesis of information of interest to a user, based on one or more lists of items reflecting a preference of the user and the sensed context data, bygenerating at least two vectors comprising one vector that is based on the one or more lists of items and another vector that is based on the sensed context data andassessing a degree in which the generated vectors match by determining to what degree various dimensions of the generated vectors exhibit a correlation using vector space modeling; and
identifying at least one item consistent with the hypothesis, for presentation to the user as a suggestion, based on the generated hypothesis.
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Accused Products
Abstract
A system and method for offering suggestions to a user of a mobile computing device based on information relevant to the user and a context data. The mobile computing device has access to lists of data associated with the user. The mobile computing device also has a sensor for detecting data about the user'"'"'s context. Based on the lists of information and the contextual data, the device generates a hypothesis as to information that may be of interest to the user. Using context data in conjunction with lists in this fashion focuses the system on information likely of interest, without requiring express user input. A search may be performed in accordance with the hypothesis. Based on the results of the search, one or more suggestions are then presented by the mobile computing device to the user. The user has the option to provide feedback input to the device resulting in an update of the suggestion.
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Citations
20 Claims
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1. A method of providing a suggestion to a user, comprising:
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sensing context data related to a user environment through at least one sensor of a processing device, wherein the sensed context data is modelled as a vector by generating a scene graph, the scene graph being a hierarchical data structure comprising geometrical and spatial nodes that represent a user'"'"'s current and past environments, data related to those nodes, and lists of data that the user manages; generating a hypothesis of information of interest to a user, based on one or more lists of items reflecting a preference of the user and the sensed context data, by generating at least two vectors comprising one vector that is based on the one or more lists of items and another vector that is based on the sensed context data and assessing a degree in which the generated vectors match by determining to what degree various dimensions of the generated vectors exhibit a correlation using vector space modeling; and identifying at least one item consistent with the hypothesis, for presentation to the user as a suggestion, based on the generated hypothesis. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 20)
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11. A method comprising:
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sensing context data of an environment, through at least one sensor of a mobile computing device, wherein the sensed context data is modelled as a vector by generating a scene graph, the scene graph being a hierarchical data structure comprising geometrical and spatial nodes that represent a user'"'"'s current and past environments, data related to those nodes, and lists of data that the user manages; generating a vector based on at least one list of items; generating a vector based on the sensed context data; and formulating a hypothesis of an item of interest to a user of the mobile computing device, the formulating being based on an implicit user query, which is based on a degree of correlation between the generated vectors, the degree being based on a determination of to what degree various dimensions of the generated vectors exhibit a correlation using vector space modeling. - View Dependent Claims (12, 13)
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14. A device, comprising:
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a sensor; one or more processors; and an electronic storage that stores processing instructions that, when executed by the one or more processors, cause the execution of a series of acts, including; gathering context data of an environment surrounding the device via the sensor, wherein the gathered context data is modelled as a vector by generating a scene graph, the scene graph being a hierarchical data structure comprising geometrical and spatial nodes that represent a user'"'"'s current and past environments, data related to those nodes, and lists of data that the user manages; generating a hypothesis of information of interest to a user of the device, based on one or more lists of items reflecting a preference of the user and the sensed context data, by generating at least two vectors, one vector that is based on the one or more lists of items and another vector that is based on the sensed context data and then assessing a degree in which the generated vectors match by determining to what degree various dimensions of the generated vectors exhibit a correlation using vector space modeling; and identifying at least one item consistent with the hypothesis for presentation to the user as a suggestion, based on a search performed in accordance with the generated hypothesis. - View Dependent Claims (15, 16, 17, 18, 19)
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Specification