๐ŸŽ“How I Study AIHISA
๐Ÿ“–Read
๐Ÿ“„Papers๐Ÿ“ฐBlogs๐ŸŽฌCourses
๐Ÿ’กLearn
๐Ÿ›ค๏ธPaths๐Ÿ“šTopics๐Ÿ’กConcepts๐ŸŽดShorts
๐ŸŽฏPractice
๐Ÿ“Daily Log๐ŸŽฏPrompts๐Ÿง Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers2

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#Sequential Recommendation

HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation

Intermediate
Lei Xin, Yuhao Zheng et al.Feb 20arXiv

The paper proposes HyTRec, a recommender system that reads very long histories fast while still paying sharp attention to the latest clicks and purchases.

#Hybrid Attention#Linear Attention#Softmax Attention

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs

Intermediate
Yu Liang, Zhongjin Zhang et al.Feb 2arXiv

This paper proposes ReSID, a new way to turn items into short token codes (Semantic IDs) that are much easier for a recommender to predict.

#Semantic IDs#Generative Recommendation#Representation Learning