Predict Service Based On RNN-LSTM And User Interest Information Of Voice Interface
Ji-Hoon Lee · Nammee Moon — first author·KIBME Fall Conference 2019 (Undergraduate)2019Conference
As people hold more devices, filtering information down to what suits them gets harder. The voice interface recommends search terms based on the interest information given at sign-up.
- Filters crawled information and recommends search terms using gender, age and residence
- When the interest is finance or stocks, an RNN-family LSTM predicts the stock price
- Prediction was tested against Apple’s stock price