Systems and methods for converting physical meetings into virtual meetings
US-2024048513-A1 · Feb 8, 2024 · US
US2016379129A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016379129-A1 |
| Application number | US-201514752919-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 27, 2015 |
| Priority date | Jun 27, 2015 |
| Publication date | Dec 29, 2016 |
| Grant date | — |
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In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result. A collaboration recommendation based upon a degree of correlation between the subsequent actions performed by the other users and the intended interaction result represented within the collaboration model is provided in association with the visual representation of the collaboration model.
Opening claim text (preview).
What is claimed is: 1 . A method, comprising: analyzing, by a processor in response to a user-initiated interaction request sent by a user via an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request; determining whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request; generating, in accordance with determined correlations between the subsequent actions performed by the other users that received the user-initiated interaction request and the intended interaction result of the user-initiated interaction request, a visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users; and providing, in association with the visual representation of the collaboration model, a collaboration recommendation based upon a degree of correlation between the subsequent actions performed by the other users that received the user-initiated interaction request and the intended interaction result of the user-initiated interaction request represented within the collaboration model. 2 . The method of claim 1 , where determining whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to the intended interaction result of the user-initiated interaction request comprises determining, from text analysis of electronic communications initiated by the other users after receipt of the user-initiated interaction request, whether the other users performed actions consistent with the intended interaction result of the user-initiated interaction request. 3 . The method of claim 1 , where determining whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to the intended interaction result of the user-initiated interaction request comprises determining, from text analysis of a subsequent electronic communication initiated by the user after receipt of an electronic communication response from at least one of the other users, whether the electronic communication response positively influenced the user that sent the user-initiated interaction request. 4 . The method of claim 1 , where the collaboration recommendation specifies a probability of success for a future collaboration between users identified in the collaboration recommendation. 5 . The method of claim 1 , further comprising identifying collaboration metrics that specify probabilities of success of future collaborations between the user and at least one of the other users that received the user-initiated interaction request. 6 . The method of claim 1 , further comprising creating the collaboration model by correlating identified collaboration metrics that specify probabilities of success of future collaborations between the user and at least one of the other users that received the user-initiated interaction request. 7 . The method of claim 1 , where generating, in accordance with the determined correlations between the subsequent actions performed by the other users that received the user-initiated interaction request and the intended interaction result of the user-initiated interaction request, the visual representation of the collaboration model that identifies the probabilities of successful collaborations between the user and the other users comprises: generating one of a graphical representation of the collaboration model and a table, where the generated one of the graphical representation of the collaboration model and the table identifies information within the collaboration model. 8 . A system, comprising: a display device; and a processor programmed to: analyze, in response to a user-initiated interaction request sent by a user via an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request; determine whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request; generate on the display, in accordance with determined correlations between the subsequent actions performed by the other users that received the user-initiated interaction request and the intended interaction result of the user-initiated interaction request, a visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users; and provide, in association with the visual representation of the collaboration model, a collaboration recommendation based upon a degree of correlation between the subsequent actions performed by the other users that received the user-initiated interaction request and the intended interaction result of the user-initiated interaction request represented within the collaboration model. 9 . The system of claim 8 , where, in being programmed to determine whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to the intended interaction result of the user-initiated interaction request, the processor is programmed to determine, from text analysis of electronic communications initiated by the other users after receipt of the user-initiated interaction request, whether the other users performed actions consistent with the intended interaction result of the user-initiated interaction request. 10 . The system of claim 8 , where, in being programmed to determine whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to the intended interaction result of the user-initiated interaction request, the processor is programmed to determine, from text analysis of a subsequent electronic communication initiated by the user after receipt of an electronic communication response from at least one of the other users, whether the electronic communication response positively influenced the user that sent the user-initiated interaction request. 11 . The system of claim 8 , where the collaboration recommendation specifies a probability of success for a future collaboration between users identified in the collaboration recommendation. 12 . The system of claim 8 , where the processor is further programmed to: identify collaboration metrics that specify probabilities of success of future collaborations between the user and at least one of the other users that received the user-initiated interaction request; and create the collaboration model by correlating the identified collaboration metrics that specify the probabilities of success of future collaborations between the user and at least one of the other users that received the user-initiated interaction request. 13 . The system of claim 8 , where, in being programmed to generate on the display, in accordance with the determined correlations between the subsequent actions performed by the other users that received the user-initiated interaction request and the intended interaction result of the user-initiated interaction request, the visual representation of the collaboration model that identifies the probabilities of successful collaborations between the user and the other users, the processor is programmed to: generate on the display one of a graphical representation of the collaboration model and a table, where the generated one of the graphical representation of the coll
Electricity · mapped topic
Physics · mapped topic
Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title
Rating or review of business operators or products · CPC title
Collaborative creation, e.g. joint development of products or services · CPC title
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