Systems and methods for analyzing entity profiles
Inventors
Skarin, Bruce • Duchon, Andrew • DeJordy, Richard Alexis • Allopenna, Paul David
Assignees
Publication Number
US-11461373-B2
Publication Date
2022-10-04
Expiration Date
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Abstract
Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
Core Innovation
Embodiments of the subject invention comprise a computer-based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques, and means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.
The background describes the need for a tool that non-invasively monitors digital media and conversation, builds knowledge of ad hoc and potential networks, and accurately recommends new opportunities for collaboration. The invention addresses difficulties in maintaining awareness of others' knowledge in large organizations, the limitations of hierarchical or frequently restructured organizations, and the risks of missed collaboration opportunities leading to reduced work quality and increased productivity costs. The methods integrate text analysis of digital documents and communications, interaction analysis of digital communication and sensor based interactions, and methods for identifying and initiating collaboration between members of the organization.
Claims Coverage
The patent includes three independent claims covering: a computer-based method of updating an entity profile; an entity profiling system configured to execute such a method; and a computer-based method of profiling interaction information.
Receiving a set of attributes of a group of entities
receiving a set of attributes of a group of entities;
Automatic creation of a global topic model
automatically creating, with a processor, a global topic model representing at least one attribute of the group of entities;
Determining and updating an entity topic profile
determining, with the processor, a first entity topic profile of a first entity from the global topic model representing at least one attribute of the first entity; receiving an updated set of attributes to identify a change in the at least one attribute of the first entity; and determining, with the processor, an updated first entity topic profile reflecting the change.
System bus and database storing a set of attributes
a system bus; at least one database in communication with the system bus that includes a set of attributes;
Non-transitory computer readable medium implementing the methods
a non-transitory computer readable medium having a computer readable program code embodied therein, said computer readable program code configured to be executed to implement the computer-based methods comprising: receiving the set of attributes of a group of entities; automatically creating, with a processor, a global topic model representing at least one attribute of the group of entities; determining, with the processor, a first entity topic profile of a first entity from the global topic model representing at least one attribute of the first entity; receiving an updated set of attributes to identify a change in the at least one attribute of the first entity; and determining, with the processor, an updated first entity topic profile reflecting the change.
Receiving interaction information and deriving interaction profiles
receiving a set of interaction information of a group of entities; the set of interaction information comprising interaction information between a first entity from the group of entities and at least one other entity of the group of entities; the set of interaction information further comprising interaction information between a second entity from the group of entities and at least one other entity of the group of entities; automatically determining, with a processor, a first interaction profile of the first entity and a second interaction profile of the second entity from the set of interaction information;
Comparing interaction profiles and determining degree of interaction similarity
comparing, with the processor, the first interaction profile with the second interaction profile; and determining, with the processor, a degree of interaction similarity of the first interaction profile to the second interaction profile.
The independent claims principally cover (1) a computer-based method to create and update entity topic profiles via a global topic model from received attributes, (2) an entity profiling system including a system bus, database and executable program code to implement those methods, and (3) a computer-based method to create, compare and determine similarity between interaction profiles derived from interaction information.
Stated Advantages
Minimally invasive automatic collection and modeling of an entity's attributes and social interactions.
Identification of opportunities to influence changes in entity attributes and to recommend new opportunities for collaboration.
Provision of a sharable index of the attributes of the entities and the group of entities.
Facilitation of rapid formation of effective human networks and accurate recommendation of situation-relevant interpersonal connections.
Increase in organizational efficiency by profiling and optimizing patterns of creative interaction and reducing information disparity and information overload.
Documented Applications
Facilitating rapid formation of effective human networks and accurately recommending new opportunities for collaboration within organizations.
Facilitating information sharing and discovering opportunities for more efficient information sharing for an individual in a group based on their knowledge model compared to others in the group.
Identifying collaboration opportunities for an individual in a group based on their knowledge model as pulled from their desktop and compared to the knowledge model and social network model of other members of that group.
Providing targeted advertising, discovering new resources for groups and individuals, and aiding other social knowledge discovery activities.
Identifying sales opportunities for a retail organization based on the knowledge model of an ideal purchaser and comparing that to the knowledge model and social network model of a group of individuals.
Identifying target individuals surfing the web based on the knowledge model of an ideal target and comparing that model to knowledge models pulled from web browser logs.
Identifying opportunities for targeting individuals using network resources based on the knowledge model of an ideal target and comparing that model to knowledge and social network models pulled from network traffic and network traffic patterns.
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