Skip to content

Enhanced User Personalization using text similarity and text summarization of data in LaMP datasets for Personalized Tweet Paraphrasing and Personalized Product Rating.

Notifications You must be signed in to change notification settings

SiddarthSuresh98/enhanced-user-personalization

Repository files navigation

enhanced-user-personalization

This project focuses on Personalized Tweets Paraphrasing and Personalised Product Rating (more info can be found - https://lamp-benchmark.github.io/) in LLMs using the data from similar users. Data from similar users is retrieved using the Contriever retrieval model - https://github.com/facebookresearch/contriever. This data is then summarised and used as an input prompt into our fine tuned Flan-T5-base model - https://huggingface.co/google/flan-t5-base which is fine tuned on the data from https://lamp-benchmark.github.io/

About

Enhanced User Personalization using text similarity and text summarization of data in LaMP datasets for Personalized Tweet Paraphrasing and Personalized Product Rating.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published