Researcher profile

Bo Hu

7 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Talent Search and Recommendation Systems at LinkedIn

    2018

    In this talk, we present the overall system design and architecture, the challenges encountered in practice, and the lessons learned from the production deployment of the talent search and recommendation systems at LinkedIn. By presenting …

  2. The parallelity of complex fuzzy sets and parallelity preserving operators

    2018 · Journal of Intelligent & Fuzzy Systems

    Complex fuzzy sets have been successfully applied to many domains. In some applications, complex fuzzy operators play an vital role, especially those results depend on the particular choice of the conjunction, disjunction and complement operators. …

  3. Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned

    2018 · arXiv (Cornell University)

    LinkedIn Talent Solutions business contributes to around 65% of LinkedIn's annual revenue, and provides tools for job providers to reach out to potential candidates and for job seekers to find suitable career opportunities. LinkedIn's job …

  4. Large-Scale Network-Traffic-Identification Method with Domain Adaptation

    2020 · Companion Proceedings of the Web Conference 2020

    With the continuous evolution of the Internet, a variety of web applications, such as video streaming and social network services, are widely used, significantly increasing the amount of traffic. Classifying the types of network traffic …

  5. Deep Learning Structure for Cross-Domain Sentiment Classification Based on Improved Cross Entropy and Weight

    2020 · Scientific Programming

    Within the sentiment classification field, the convolutional neural network (CNN) and long short-term memory (LSTM) are praised for their classification and prediction performance, but their accuracy, loss rate, and time are not ideal. To this …

  6. SamE: Sampling-based Embedding for Learning Representations of the Internet

    2021 · 2021 IEEE Global Communications Conference (GLOBECOM)

    We have developed SamE, a novel sampling-based embedding technique for learning representations of the Internet. SamE can classify Internet hosts in a scalable and cost effective manner without sacrificing the classification performance. Machine learning has …

  7. Intelligent Decision Support Algorithm Based on Multimodal Data

    2024

    Some grid companies have initially built a digital grid framework and promoted the integration of technology platforms and various technology components. However, there are still problems such as insufficient integration degree of technical services and …