1 code implementation • IEEE Access 2022 • Umaporn Padungkiatwattana, Saranya Maneeroj
In this paper, we propose a novel integral model for personalized hashtag recommendation named PAC-MAN, which explores high-order multiple relations to model fruitful user and hashtag representation before fusing with word representation for word-level personalization and integrating with sequenceless hashtag correlation for the recommendation.
1 code implementation • IEEE Access 2022 • Umaporn Padungkiatwattana, Thitiya Sae-Diae, Saranya Maneeroj, Atsuhiro Takasu
The aim is to model user and item behavior over the user–item interaction sequence while considering local representations that contain specific characteristics of both user and item in the sequence.