Action prediction based on interactive history and context between sender and recipient

Abstract

Techniques for action prediction based on interactive history and context between a sender and a recipient are described herein. In one embodiment, a process includes, but is not limited to, in response to a message to be received by a recipient from a sender over a network, determining one or more previous transactions associated with the sender and the recipient, the one or more previous transactions are recorded during course of operations performed within an entity associated with the recipient, and generating a list of one or more action candidates based on the determined one or more previous transactions. The invention is characterized in that the one or more action candidates are optional actions recommended to the recipient, in addition to one or more actions required to be taken in response to the message. Key word identification out of voice applications as well as guided actions has also been applied to generate action prediction candidates interactive history links. Other methods and devices are also described.

Description

Action prediction based on interaction history and context between sender and receiver Copyright Notice Portions of the disclosure of this patent document contain material that is protected by copyright. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure in the form as it appears in the Patent and Trademark Office patent file or records, but reserves all other copyright rights. technical field The present invention generally relates to data processing. More specifically, the present invention relates to action prediction based on message sender and receiver relationships. Background technique When a business user is interacting between multiple parties (such as receiving a call from a customer), the business user wants to see the history of the user's interaction with the customer so that he can always be prepared during the communication. However, in the real world, users are only able to view ...

AI Technical Summary

Problems solved by technology

However, in traditional systems, users can only view in the portal by taking several steps, which can be considered very low productivity

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