Papers with online updating
Personalized Language Model for Query Auto-Completion (P18-2)
Copied to clipboard
| Challenge: | Query auto-completion (QAC) is a search engine feature that suggests completed queries as the user types . recent work suggests personalization of the recurrent layer to generate personalized completions. |
| Approach: | They propose to use a recurrent neural network language model to generate personalized completions for search engines. |
| Outcome: | The proposed model can generate personalized completions for users not seen during training. |