Training detection model using output of language model applied to event information
US-2024419941-A1 · Dec 19, 2024 · US
US2016247165A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016247165-A1 |
| Application number | US-201514629474-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 23, 2015 |
| Priority date | Feb 23, 2015 |
| Publication date | Aug 25, 2016 |
| Grant date | — |
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A system and method for making engagement offers. A processor monitors a navigation path of a user navigating a website. The processor makes an offer for engagement with the user on a first web page reached by the user upon following the navigation path. The processor monitors a reaction of the user to the offer for engagement, and updates tag data associated with a second web page encountered by the user while traversing the navigation path. The tag data is updated based on the reaction of the user to the offer for engagement.
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1 . A method for making engagement offers comprising: monitoring, by a processor, a navigation path of a user navigating a website; making, by the processor, an offer for engagement with the user on a first web page reached by the user upon following the navigation path; monitoring, by the processor, a reaction of the user to the offer for engagement; and updating, by the processor, tag data associated with a second web page encountered by the user while traversing the navigation path, wherein the tag data is updated based on the reaction of the user to the offer for engagement. 2 . The method of claim 1 , wherein the navigation path identifies a sequence of web pages visited by the user during a current web session. 3 . The method of claim 1 , wherein the offer for engagement is an offer for a knowledge article. 4 . The method of claim 1 , wherein the offer for engagement is an offer for interaction with a contact center agent. 5 . The method of claim 1 , wherein the tag data includes information relating to user intent. 6 . The method of claim 5 , wherein the tag data includes a distance to the first web page where the offer for engagement was made, and outcome of the offer for engagement. 7 . The method of claim 1 further comprising: detecting, by the processor, a second user landing on the second web page, wherein the second user is detected to have followed at least a portion of the navigation path; calculating, by the processor, a confidence level that the second user will accept the offer for engagement on the second web page; and making the offer for engagement on the second web page based on the calculated confidence level. 8 . The method of claim 7 , wherein the confidence level is calculated as a function of a distance to the first web page. 9 . The method of claim 7 , wherein the confidence level is calculated based on a likelihood that the second user will follow the navigation path. 10 . The method of claim 7 , wherein the confidence level is based on identification of redirection to the website. 11 . The method of claim 7 , wherein the offer for engagement is paced based on the calculated confidence level. 12 . The method of claim 10 , wherein the pacing is based on availability of agents to handle requests for interactions based on transmitted offers for engagement. 13 . The method of claim 11 , wherein the pacing includes transmitting, by the processor, more invitations for offers for engagement than what are expected to be accepted by users. 14 . The method of claim 1 , wherein the navigation path is processed for determining user intent, and the offer for engagement is associated with the determined user intent. 15 . The method of claim 13 further comprising: generating, by the processor, a query descriptive of the user intent, wherein the offer for engagement is a knowledge article related to the user intent. 16 . A system for making engagement offers comprising: processor; and memory, wherein the memory includes instructions that, when executed by the processor, cause the processor to: monitor a navigation path of a user navigating a website; make an offer for engagement with the user on a first web page reached by the user upon following the navigation path; monitor a reaction of the user to the offer for engagement; and update tag data associated with a second web page encountered by the user while traversing the navigation path, wherein the tag data is updated based on the reaction of the user to the offer for engagement.
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