Fmr Corp.

Sorin Adrian Roman

Bibhash Chakrabarty

Manish Gupta

Sateesh Panda

Shefali Yadav

Sachin Umrao

Matthew McGrath

Methods and apparatuses are described for automatic intelligent query suggestion for information retrieval applications. A server a) determines candidate intents associated with user input text received from a remote device, including applying a trained intent classification model to the user input text to predict candidate intents. The server b) calculates a likelihood value for each of the candidate intents. The server c) compiles a list of suggested queries based upon the candidate intents and associated likelihood values. The server d) identifies a subset of the list of suggested queries for display on the remote device. Upon detecting an update to the user input text at the remote device, the server repeats steps a) to d) using the updated user input text, or upon detecting a selection of one of the suggested queries at the remote device, the server retrieves content responsive to the selected query.

Automatic intelligent query suggestion for information retrieval applications

Methods and apparatuses are described for automated predictive virtual assistant intervention. A server computing device captures clickstream data corresponding to web browsing sessions of a user at a client computing device, and generates predicted needs of the user based upon the clickstream data. The server computing device identifies virtual assistant messages for the user based upon the predicted needs of the user, and displays the identified virtual assistant messages in a virtual assistant application on the client computing device.

Automated predictive virtual assistant intervention in real time

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Hampton Falls, NH, United States of America

Sorin Adrian Roman