Summary of Linksage: Optimizing Job Matching Using Graph Neural Networks, by Ping Liu et al.
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
by Ping Liu, Haichao Wei, Xiaochen Hou, Jianqiang Shen, Shihai He, Kay Qianqi Shen, Zhujun Chen, Fedor Borisyuk, Daniel Hewlett, Liang Wu, Srikant Veeraraghavan, Alex Tsun, Chengming Jiang, Wenjing Zhang
First submitted to arxiv on: 20 Feb 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Social and Information Networks (cs.SI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary As machine learning educators, we can summarize the abstract of LinkSAGE as follows: This innovative framework integrates Graph Neural Networks (GNNs) into large-scale personalized job matching systems, capitalizing on LinkedIn’s extensive professional network. The approach leverages a novel job marketplace graph with billions of nodes and edges, richly detailed with member and job attributes. A key innovation lies in the training and serving methodology, combining inductive graph learning with an encoder-decoder GNN model to eliminate the need for frequent GNN retraining while maintaining up-to-date graph signals. The subsequent nearline inference system serves the GNN encoder within a real-world setting, significantly reducing online latency. Validated across multiple online A/B tests, LinkSAGE demonstrates marked improvements in member engagement, relevance matching, and retention. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary LinkSAGE is a new way to match people with jobs on LinkedIn. It uses special computer programs called Graph Neural Networks (GNNs) to understand the connections between people, jobs, and other things. The program looks at a huge graph that has billions of points and lines, showing who knows whom, what skills they have, and what jobs are available. This helps match people with jobs more effectively. The program also learns how to do this job without needing to be retrained all the time, which makes it faster and more efficient. |
Keywords
* Artificial intelligence * Encoder * Encoder decoder * Gnn * Inference * Machine learning
