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US10042961B2 · kind B2 · utility

5Cited by
10References
16Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJul 28, 2015
Grant dateAug 7, 2018
Priority date
Expiry dateAug 7, 2036

Classification

  • Technology area (CPC H)Electricity
  • CPC primaryH04L51/04
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Techniques for providing a people recommendation system for predicting and recommending relevant people (or other entities) to include in a conversation. In an exemplary embodiment, a plurality of conversation boxes associated with communications between a user and target recipients, or between other users and recipients, are collected and stored as user history. During a training phase, the user history is used to train encoder and decoder blocks in a de-noising auto-encoder model. During a prediction phase, the trained encoder and decoder are used to predict one or more recipients for a current conversation box composed by the user, based on contextual and other signals extracted from the current conversation box. The predicted recipients are ranked using a scoring function, and the top-ranked individuals or entities may be recommended to the user.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.