Papers with recommendation approach

1 papers
#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention (2021.emnlp-main)

Copied to clipboard

Challenge: Existing methods based on latent topics cannot capture user interests and thus can't be used to predict how likely a user will post with a hashtag.
Approach: They propose a personalized topic attention model that captures salient contents to personalize hashtag contexts by predicting how likely a user will post with a hashtag.
Outcome: The proposed model significantly outperforms the state-of-the-art recommendation approach without exploiting latent topics.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations