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jasperzhong / read-papers-and-code

My paper/code reading notes in Chinese
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TKDE '18 | Heterogeneous Information Network Embedding for Recommendation #333

Closed jasperzhong closed 1 year ago

jasperzhong commented 1 year ago

https://arxiv.org/pdf/1711.10730.pdf

jasperzhong commented 1 year ago

image

为异构图推荐任务提出HERec.核心还是Meta-path-based random walk，不同之处是会过滤掉只剩一种节点，比如user或者item，然后用node2vec各自生成对应的node embedding. 而之前的metapath2vec #330 的skip gram的random walk没有filter这一步，所以序列包含多种type of nodes. 由于一个node存在多条metapath，所以还需要把embedding fuse起来. 最后得到user和item的node embedding，用于推荐任务.

jasperzhong commented 1 year ago

实验和使用metapath的方法对比了，HERec这种经过filter的方法效果更好.