Parameter-Efficiently Leveraging Session Information in Deep Learning-Based Session-Aware Sequential Recommendation

In recommender systems, leveraging user interaction history as sequential information has recently led to significant performance improvements. However, in many online services, user interactions are often grouped into sessions that inherently share user preferences, requiring a distinct approach fr...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Jinseok Seol, Youngrok Ko, Sang-Goo Lee
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Session-aware recommendation sequential recommendation temporal self-attention
Online adgang:	https://ieeexplore.ieee.org/document/10902109/
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!