Patent Issued for Dynamic web application based on events (USPTO 11392664): Massachusetts Mutual Life Insurance Company

2022 AUG 05 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Merritt, Sears (Groton, MA, US), filed on August 24, 2018, was published online on July 19, 2022.

The assignee for this patent, patent number 11392664, is Massachusetts Mutual Life Insurance Company (Springfield, Massachusetts, United States).

Reporters obtained the following quote from the background information supplied by the inventors: “A website may include numerous links providing users with different products, services, advertisements, documents, and other related information. In addition, each web page within the website may include links redirecting users to other web pages. Because of the interconnected nature of web pages within websites, navigating through different web pages to find the desired data (e.g., web page) may be frustrating and time-consuming. In some existing and conventional methods, a website may offer a website directory (e.g., website map) that classifies different information, functionalities, and/or services provided by the website. For instance, website directories may classify different information or functionalities into different categories and provide a corresponding link for each category, set of information, and/or services that directs users to the desired web page.

“However, these conventional methods still require users to navigate through web directories and manually search for the desired content/web pages. Conventional methods further require users to be familiar with the website and require the user to navigate to the desired web page. In other existing and conventional methods, a website may deploy a chatbot to assist users. For example, a website may display a chat box allowing users to inquire regarding their desired content. However, these conventional methods and solutions have also created several shortcomings and a new set of technical challenges. For instance, the results displayed via the chatbot is based on key words searching, inputted by the user into the chat box, which may not be accurate (e.g., key words may be too broad or too narrow). Further, manually searching the web directories or employing the chatbot is still a time consuming process, which inevitably creates a negative user experience. While some other conventional methods provide prediction and recommendation services based on the web users’ historical behavior, these conventional methods and solutions are not able to provide an accurate and fine-grained real time prediction capability of web users’ intentions. That is, these conventional methods are limited to the users’ past behavior and historical data.”

In addition to obtaining background information on this patent, NewsRx editors also obtained the inventors’ summary information for this patent: “For the aforementioned reasons, there is a need for a more accurate and efficient system and method that would allow a server to optimize dynamic web applications based on events. Discussed herein are systems and methods for dynamically capturing each event of the web users’ behavior in real time and optimizing the web applications by providing functionality on the web applications based on predictions on the web users’ intentions or future behaviors using the captured event on an event-by-event basis.

“In one embodiment, a computer implemented method comprises continuously monitoring, by a server, a current interaction between a user and a website displayed on an electronic device; receiving, by the server from the electronic device, a user identifier comprising authentication data associated with the user; querying, by the server, a web user database to receive data associated with the user based on the user identifier; executing, by the server, a prediction model to determine a next event corresponding to a future interaction between the user and the website, the prediction model being configured to use artificial intelligence to learn a user behavior pattern based on training of historical data comprising activities by other users on that website and corresponding next events and then predict the next event by applying the received data and the current interaction monitored by the server; retrieving, by the server from a webserver configured to host the website, HTML code associated with the website; generating, by the server, an interactive graphical component comprising an interactive hyperlink configured to transfer the user to a second web page corresponding to the next event determined by the prediction model; and dynamically displaying, by the server, the interactive graphical component by modifying the HTML code to display the interactive graphical component on a foreground of the website.

“In another embodiment, a computer system comprises a web server hosting a website, a server in communication with the web server and configured to continuously monitor a current interaction between a user and a website displayed on an electronic device; receive from the electronic device, a user identifier comprising authentication data associated with the user; query a web user database to receive data associated with the user based on the user identifier; execute a prediction model to determine a next event corresponding to a future interaction between the user and the website, the prediction model being configured to use artificial intelligence to learn a user behavior pattern based on training of historical data comprising activities by other users on that website and corresponding next events and then predict the next event by applying the received data and the current interaction monitored by the server; retrieve from the webserver configured to host the website, HTML code associated with the website; generate an interactive graphical component comprising an interactive hyperlink configured to transfer the user to a second web page corresponding to the next event determined by the prediction model; and dynamically display the interactive graphical component by modifying the HTML code to display the interactive graphical component on a foreground of the website.

“It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.”

The claims supplied by the inventors are:

“1. A method comprising: continuously monitoring, by a server, a series of current interactions between a user and a first webpage of a website displayed on an electronic device during a browsing session, the series of current interactions indicative of a user-desired hyperlink of the website; receiving, by the server from the electronic device, a user identifier comprising authentication data associated with the user; querying, by the server, a web user database to receive data associated with the user based on the user identifier; predicting, by the server, a final event of the browsing session by applying a prediction model to the received data and the series of current interactions monitored by the server; retrieving, by the server from a webserver configured to host the website, code associated with the website; generating, by the server, an interactive graphical component comprising an interactive hyperlink configured to transfer the user to the second web page of the web site corresponding to the final event determined by the prediction model based on the current series of interactions, wherein the interactive hyperlink corresponding to the final event is not accessible to the user on the first web page until the interactive graphical component is displayed; and dynamically displaying, by the server, the interactive graphical component without further input from the user by modifying the code to display the interactive graphical component on a foreground of the website, wherein when the user interacts with the interactive graphical component, the server directly navigates the electronic device to the second webpage of the web site corresponding to the final event.

“2. The method of claim 1, further comprising: receiving, by the server, click-through analytics data from the web server hosting the web site; and generating, by the server, the prediction model based on the click-through analytics data for the website, wherein the prediction model predicts web user operations on an event-by-event basis.

“3. The method of claim 1, further comprising: querying and receiving, by the server, new click-through analytics results associated with the final event from the web server; and updating, by the server, the prediction model to include the new click-through analytics results.

“4. The method of claim 1, wherein the final event comprises operations within the website and operations outside the website.

“5. The method of claim 4, wherein the operations outside the website comprise interacting with at least one of calling center, customer service representatives, and chatbot.

“6. The method of claim 1, further comprising: redesigning, by the server, click stream and event flow in real time by observing web user operations at a micro scale.

“7. The method of claim 1, further comprising: updating, by the server, the prediction model periodically.

“8. The method of claim 2, further comprising: updating, by the server, the prediction model when click-through analytics results corresponding to a predicted event does not satisfy a threshold.

“9. The method of claim 1, further comprising: predicting, by the server, web user behaviors based on context of the website.

“10. The method of claim 1, further comprising: combining, by the server, offline data from the web user database and online behavior associated with the user to determine user’s intention.

“11. A system comprising: a web server hosting a web site, and a server in communication with the web server and configured to: continuously monitor a series of current interactions between a user and a first webpage of a website displayed on an electronic device during a browsing session, the series of current interactions indicative of a user-desired hyperlink of the website; receive from the electronic device, a user identifier comprising authentication data associated with the user; query a web user database to receive data associated with the user based on the user identifier; predicting, by the server, a final event of the browsing session by applying a prediction model to the received data and the series of current interactions monitored by the server; retrieve from the webserver configured to host the website, code associated with the web site; generate an interactive graphical component comprising an interactive hyperlink configured to transfer the user to the second web page corresponding to the final event determined by the prediction model based on the current series of interactions, wherein the interactive hyperlink corresponding to the final event is not accessible on the first web page to the user until the interactive graphical component is displayed; and dynamically display the interactive graphical component without further input from the user by modifying the code to display the interactive graphical component on a foreground of the web site, wherein when the user interacts with the interactive graphical component, the server directly navigates the electronic device to the second webpage of the web site corresponding to the final event.

“12. The system of claim 11, wherein the server is further configured to: receive click-through analytics data from the web server hosting the website; and generate the prediction model based on the click-through analytics data for the website, wherein the prediction model predicts web user operations on an event-by-event basis.

“13. The system of claim 11, wherein the server is further configured to: query and receive new click-through analytics results associated with the final event from the web server; and update the prediction model to include the new click-through analytics results.

“14. The system of claim 11, wherein the final event comprises operations within the website and operations outside the website.

“15. The system of claim 14, wherein the operations outside the website comprise interacting with at least one of calling center, customer service representatives, and chatbot.

“16. The system of claim 11, wherein the server is further configured to: redesign click stream and event flow in real time by observing web user operations at a micro scale.

“17. The system of claim 11, wherein the server is further configured to: update the prediction model periodically.

“18. The system of claim 11, wherein the server is further configured to: update the prediction model when click-through analytics results corresponding to a predicted event does not satisfy a threshold.

“19. The system of claim 11, wherein the server is further configured to: predict web user behaviors based on context of the website.

“20. The system of claim 11, wherein the server is further configured to: combine offline data from the web user database and online behavior associated with the user to determine user’s intention.”

For more information, see this patent: Merritt, Sears. Dynamic web application based on events. U.S. Patent Number 11392664, filed August 24, 2018, and published online on July 19, 2022. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=11392664.PN.&OS=PN/11392664RS=PN/11392664

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