简述
将用户的session序列构建成有向图,通过考虑item之间的转移关系, 更好的学习item emb及用户的向量表达.
related work
一些流行的GNN演变.
word2vec, DeepWalk, LINE, node2vec.
结构及解读
网络结构
nodes connection
is defined as the concatenation of two adjacency matrices. directed edges have normalized weight.
gated recurrent units
session emb
, where
experiment
- baselines. GRU4REC, STAMP, etc.
- dataset.
YooChoose
from RecSys Chanllenge 2015. - P@20=71.36, evaluation metric , identical to recall@20.
参考
- paper,AAAI,2019, Session-based Recommendation with Graph Neural Networks
- corresponding official code,SR-GNN