Jie Yang

Brief Bio

I am a senior researcher at the eXascale Infolab, University of Fribourg. I obtained my PhD in 2017 from Delft University of Technology, Netherlands, where I worked in the Web Information Systems group. Prior to that, I completed my master program (with cum laude) in Eindhoven University of Technology, Netherlands, in 2013. Before, I received my bachelor degree from Zhejiang University, China, in 2011. During my study, I worked as a research intern in Philips Research, Eindhoven, Netherlands, and as a machine learning scientist in Amazon Research, Seattle, USA.

My research focuses on building effective Human-Machine Loop Systems that combine human intelligence with machine scalability to solve complex tasks at scale. This topic emerges at the intersection of Information Science and Artificial Intelligence, with relevant techniques spanning human computation, machine learning, recommendation, and user modeling. My work finds application in human computation, recommendation, question answering, and urban computing systems. I am currently working as Assistant Professor at the Web Information Systems (WIS) group in TU Delft.

Research Interests

Human Computation and Crowdsourcing; Machine Learning; Recommender Systems; User Modeling; Conversational Agents; Urban Computing; Community Question Answering.

Selected Awards

• Douglas Engelbart Best Paper Award, ACM HyperText, 2017.
• Best Paper Award, TRUSTINCW@ACM WebSci, 2016.
• Amandus H. Lundqvist Scholarship, Philips, 2011 - 2013.
• Brain-Bridge Talent Program, Eindhoven University of Technology - Zhejiang University, 2007-2009.

Publications

1. Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, and Philippe Cudré-Mauroux. “Streaming Graph Embeddings via Incremental Neighborhood Sketching.” IEEE Trans. Knowl. Data Eng. 35, no. 5 (2023): 5296–5310. Bibtex PDF

   Streaming Graph Embeddings via Incremental Neighborhood Sketching

   Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, and Philippe Cudré-Mauroux. “Streaming Graph Embeddings via Incremental Neighborhood Sketching.” IEEE Trans. Knowl. Data Eng. 35, no. 5 (2023): 5296–5310.

   @article{yang2023tkde,
     author = {Yang, Dingqi and Qu, Bingqing and Yang, Jie and Wang, Liang and Cudré-Mauroux, Philippe},
     title = {Streaming Graph Embeddings via Incremental Neighborhood Sketching},
     journal = {IEEE Trans. Knowl. Data Eng.},
     volume = {35},
     number = {5},
     pages = {5296-5310},
     year = {2023},
     url = {https://exascale.info/assets/pdf/yang2023tkde.pdf}
   }
   

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2. Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, and Philippe Cudré-Mauroux. “MARTA: Leveraging Human Rationales for Explainable Text Classification.” In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021). A Virtual Conference, 2021. Bibtex Slides PDF Appendix Code Poster

   MARTA: Leveraging Human Rationales for Explainable Text Classification

   Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, and Philippe Cudré-Mauroux. “MARTA: Leveraging Human Rationales for Explainable Text Classification.” In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021). A Virtual Conference, 2021.

   @inproceedings{arous2021aaai,
     title = {MARTA: Leveraging Human Rationales for Explainable Text Classification},
     author = {Arous, Ines and Dolamic, Ljiljana and Yang, Jie and Bhardwaj, Akansha and Cuccu, Giuseppe and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021)},
     year = {2021},
     address = {A Virtual Conference},
     url = {https://exascale.info/assets/pdf/arous2021aaai.pdf},
     appendix = {https://exascale.info/assets/pdf/arous2020AAAI-sm.pdf},
     note = {https://exascale.info/assets/pdf/arous2021aaai_slides.pdf},
     poster = {https://exascale.info/assets/pdf/arous2021aaai_poster.pdf},
     code = {https://github.com/eXascaleInfolab/MARTA}
   }
   

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3. Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process.” In Proceedings of the Web Conference (WWW 2021). Ljubljana, Slovenia, 2021. Bibtex PDF Code

   Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process

   Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process.” In Proceedings of the Web Conference (WWW 2021). Ljubljana, Slovenia, 2021.

   @inproceedings{arous2021www,
     title = {Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process},
     author = {Arous, Ines and Yang, Jie and Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {Proceedings of the Web Conference (WWW 2021)},
     year = {2021},
     address = {Ljubljana, Slovenia},
     url = {https://exascale.info/assets/pdf/arous2021www.pdf},
     code = {https://github.com/eXascaleInfolab/pgpr}
   }
   

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4. Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.” In Proceedings of the Web Conference (WWW 2020). Taipei, Taiwan, 2020. Bibtex Slides PDF Code Video

   OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation

   Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.” In Proceedings of the Web Conference (WWW 2020). Taipei, Taiwan, 2020.

   @inproceedings{arous2020www,
     title = {OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation},
     author = {Arous, Ines and Yang, Jie and Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {Proceedings of the Web Conference (WWW 2020)},
     year = {2020},
     address = {Taipei, Taiwan},
     url = {https://exascale.info/assets/pdf/arous2020www.pdf},
     note = {https://exascale.info/assets/pdf/arous2020www-slides.pdf},
     video = {https://www.youtube.com/watch?v=LOPgd-8TS-k&list=PLJNwhMK_V7EwEzlo9exv6COBKA3MQ28KW&index=3&ab_channel=TheWebConference2020Web},
     code = {https://github.com/eXascaleInfolab/OpenCrowd}
   }
   

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5. Dingqi Yang, Bingqing Qu, Jie Yang, and Philippe Cudré-Mauroux. “LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks.” IEEE Transactions on Knowledge and Data Engineering, 2020. Bibtex PDF

   LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks

   Dingqi Yang, Bingqing Qu, Jie Yang, and Philippe Cudré-Mauroux. “LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks.” IEEE Transactions on Knowledge and Data Engineering, 2020.

   @article{yang2020LBSN2Vec++,
     title = {LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks},
     author = {Yang, Dingqi and Qu, Bingqing and Yang, Jie and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {IEEE Transactions on Knowledge and Data Engineering},
     year = {2020},
     url = {https://ieeexplore.ieee.org/abstract/document/9099985}
   }
   

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6. Akansha Bhardwaj, Jie Yang, and Philippe Cudré-Mauroux. “A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection.” In AAAI Conference on Artificial Intelligence (AAAI’20). New York, USA, 2020. Bibtex PDF

   A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection

   Akansha Bhardwaj, Jie Yang, and Philippe Cudré-Mauroux. “A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection.” In AAAI Conference on Artificial Intelligence (AAAI’20). New York, USA, 2020.

   @inproceedings{bhardwaj2020aaai,
     title = {A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection},
     author = {Bhardwaj, Akansha and Yang, Jie and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {AAAI Conference on Artificial Intelligence (AAAI'20)},
     year = {2020},
     address = {New York, USA},
     url = {https://exascale.info/assets/pdf/bhardwaj2020AAAI.pdf}
   }
   

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7. Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, and Philippe Cudre-Mauroux. “Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data.” In Proceedings of the Web Conference (WWW 2019), 2019. Bibtex PDF

   Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data

   Jie Yang, Alisa Smirnova, Dingqi Yang, Gianluca Demartini, Yuan Lu, and Philippe Cudre-Mauroux. “Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data.” In Proceedings of the Web Conference (WWW 2019), 2019.

   @inproceedings{jieyang2019www,
     title = {Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data},
     author = {Yang, Jie and Smirnova, Alisa and Yang, Dingqi and Demartini, Gianluca and Lu, Yuan and Cudre-Mauroux, Philippe},
     booktitle = {Proceedings of the Web Conference (WWW 2019)},
     year = {2019},
     url = {https://exascale.info/assets/pdf/scalpel-CD2019www.pdf}
   }
   

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8. Natalia Ostapuk, Jie Yang, and Philippe Cudre-Mauroux. “ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs.” In Proceedings of the Web Conference (WWW 2019), 2019. Bibtex PDF

   ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs

   Natalia Ostapuk, Jie Yang, and Philippe Cudre-Mauroux. “ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs.” In Proceedings of the Web Conference (WWW 2019), 2019.

   @inproceedings{ostapuk2019www,
     title = {ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs},
     author = {Ostapuk, Natalia and Yang, Jie and Cudre-Mauroux, Philippe},
     booktitle = {Proceedings of the Web Conference (WWW 2019)},
     year = {2019},
     url = {https://exascale.info/assets/pdf/ostapuk2019www.pdf}
   }
   

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9. Dingqi Yang, Bingqing Qu, Jie Yang, and Philippe Cudre-Mauroux. “Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach.” In Proceedings of the Web Conference (WWW 2019), 2019. Bibtex PDF

   Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach

   Dingqi Yang, Bingqing Qu, Jie Yang, and Philippe Cudre-Mauroux. “Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach.” In Proceedings of the Web Conference (WWW 2019), 2019.

   @inproceedings{yang2019www,
     title = {Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach},
     author = {Yang, Dingqi and Qu, Bingqing and Yang, Jie and Cudre-Mauroux, Philippe},
     booktitle = {Proceedings of the Web Conference (WWW 2019)},
     year = {2019},
     url = {https://exascale.info/assets/pdf/yang2019www.pdf}
   }
   

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10. Jie Yang, Thomas Drake, Andreas Damianou, and Yoelle Maarek. “Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa.” In Proceedings of the 2018 Edition of The Web Conference (WWW 2018). ACM, 2018. Bibtex

    Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa

    Jie Yang, Thomas Drake, Andreas Damianou, and Yoelle Maarek. “Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa.” In Proceedings of the 2018 Edition of The Web Conference (WWW 2018). ACM, 2018.

    @inproceedings{yang2018leveraging,
      title = {Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa},
      author = {Yang, Jie and Drake, Thomas and Damianou, Andreas and Maarek, Yoelle},
      booktitle = {Proceedings of the 2018 edition of The Web Conference (WWW 2018)},
      year = {2018},
      organization = {ACM}
    }
    

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11. Guanliang Chen, Jie Yang, Claudia Hauff, and Geert-Jan Houben. “LearningQ: A Large-Scale Dataset for Educational Question Generation.” In Proceedings of the Twelfth International Conference on Web and Social Media, ICWSM 2018, Stanford, California, USA, June 25-28, 2018., 481–90, 2018. Bibtex PDF

    LearningQ: A Large-Scale Dataset for Educational Question Generation

    Guanliang Chen, Jie Yang, Claudia Hauff, and Geert-Jan Houben. “LearningQ: A Large-Scale Dataset for Educational Question Generation.” In Proceedings of the Twelfth International Conference on Web and Social Media, ICWSM 2018, Stanford, California, USA, June 25-28, 2018., 481–90, 2018.

    @inproceedings{yang2018icwsm,
      author = {Chen, Guanliang and Yang, Jie and Hauff, Claudia and Houben, Geert{-}Jan},
      title = {LearningQ: {A} Large-Scale Dataset for Educational Question Generation},
      booktitle = {Proceedings of the Twelfth International Conference on Web and Social Media, {ICWSM} 2018, Stanford, California, USA, June 25-28, 2018.},
      pages = {481--490},
      year = {2018},
      url = {https://exascale.info/assets/pdf/yang2018icwsm.pdf}
    }
    

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12. Jie Yang, Carlo van der Valk, Tobias Hoßfeld, Judith Redi, and Alessandro Bozzon. “How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk.” In Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 193–202, 2018. Bibtex PDF

    How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk

    Jie Yang, Carlo van der Valk, Tobias Hoßfeld, Judith Redi, and Alessandro Bozzon. “How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk.” In Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 193–202, 2018.

    @inproceedings{yang2018hcomp,
      author = {Yang, Jie and van der Valk, Carlo and Ho{\ss}feld, Tobias and Redi, Judith and Bozzon, Alessandro},
      title = {How Do Crowdworker Communities and Microtask Markets Influence Each Other? {A} Data-Driven Study on Amazon Mechanical Turk},
      booktitle = {Proceedings of the Sixth {AAAI} Conference on Human Computation and Crowdsourcing (HCOMP)},
      pages = {193--202},
      year = {2018},
      url = {https://exascale.info/assets/pdf/yang2018hcomp.pdf}
    }
    

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13. Zhu Sun, Jie Yang, Jie Zhang, and Alessandro Bozzon. “Exploiting Both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation.” In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017). AAAI, 2017. Bibtex

    Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation

    Zhu Sun, Jie Yang, Jie Zhang, and Alessandro Bozzon. “Exploiting Both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation.” In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017). AAAI, 2017.

    @inproceedings{sun2017exploiting,
      title = {Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation},
      author = {Sun, Zhu and Yang, Jie and Zhang, Jie and Bozzon, Alessandro},
      booktitle = {Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017)},
      year = {2017},
      organization = {AAAI}
    }
    

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14. Ujwal Gadiraju, Jie Yang, and Alessandro Bozzon. “Clarity Is a Worthwhile Quality - On the Role of Task Clarity in Microtask Crowdsourcing.” In Proceedings of the 28th ACM Conference on Hypertext and Social Media (HyperText 2017). ACM, 2017. Bibtex

    Clarity is a Worthwhile Quality - On the Role of Task Clarity in Microtask Crowdsourcing

    Ujwal Gadiraju, Jie Yang, and Alessandro Bozzon. “Clarity Is a Worthwhile Quality - On the Role of Task Clarity in Microtask Crowdsourcing.” In Proceedings of the 28th ACM Conference on Hypertext and Social Media (HyperText 2017). ACM, 2017.

    @inproceedings{gadiraju2017clarity,
      title = {Clarity is a Worthwhile Quality - On the Role of Task Clarity in Microtask Crowdsourcing},
      author = {Gadiraju, Ujwal and Yang, Jie and Bozzon, Alessandro},
      booktitle = {Proceedings of the 28th ACM Conference on Hypertext and Social Media (HyperText 2017)},
      year = {2017},
      organization = {ACM}
    }
    

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15. Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, and David MJ Tax. “Interacting Attention-Gated Recurrent Networks for Recommendation.” In Proceedings of the 26th ACM Conference on Information and Knowledge Management (CIKM 2017). ACM, 2017. Bibtex

    Interacting Attention-gated Recurrent Networks for Recommendation

    Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, and David MJ Tax. “Interacting Attention-Gated Recurrent Networks for Recommendation.” In Proceedings of the 26th ACM Conference on Information and Knowledge Management (CIKM 2017). ACM, 2017.

    @inproceedings{pei2017interacting,
      title = {Interacting Attention-gated Recurrent Networks for Recommendation},
      author = {Pei, Wenjie and Yang, Jie and Sun, Zhu and Zhang, Jie and Bozzon, Alessandro and Tax, David MJ},
      booktitle = {Proceedings of the 26th ACM Conference on Information and Knowledge Management (CIKM 2017)},
      year = {2017},
      organization = {ACM}
    }
    

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16. Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Chi Xu, and Yu Chen. “MRLR: Multi-Level Representation Learning for Personalized Ranking in Recommendation.” In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017. Bibtex

    MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation

    Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Chi Xu, and Yu Chen. “MRLR: Multi-Level Representation Learning for Personalized Ranking in Recommendation.” In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017.

    @inproceedings{sun2017mrlr,
      title = {{MRLR}: Multi-level Representation Learning for Personalized Ranking in Recommendation},
      author = {Sun, Zhu and Yang, Jie and Zhang, Jie and Bozzon, Alessandro and Xu, Chi and Chen, Yu},
      booktitle = {Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017)},
      year = {2017}
    }
    

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17. Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, and Martha Larson. “CitRec 2017: International Workshop on Recommender Systems for Citizens.” In Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys 2017). ACM, 2017. Bibtex

    CitRec 2017: International Workshop on Recommender Systems for Citizens

    Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, and Martha Larson. “CitRec 2017: International Workshop on Recommender Systems for Citizens.” In Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys 2017). ACM, 2017.

    @inproceedings{yang2017citrec,
      title = {CitRec 2017: International Workshop on Recommender Systems for Citizens},
      author = {Yang, Jie and Sun, Zhu and Bozzon, Alessandro and Zhang, Jie and Larson, Martha},
      booktitle = {Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys 2017)},
      year = {2017},
      organization = {ACM}
    }
    

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18. Arkka Dhiratara, Jie Yang, Alessandro Bozzon, and Geert-Jan Houben. “Social Media Data Analytics for Tourism - A Preliminary Study.” In Proceedings of the 2nd Knowledge Discovery on the Web (KDWeb 2016), 2016. Bibtex

    Social Media Data Analytics for Tourism - A Preliminary Study

    Arkka Dhiratara, Jie Yang, Alessandro Bozzon, and Geert-Jan Houben. “Social Media Data Analytics for Tourism - A Preliminary Study.” In Proceedings of the 2nd Knowledge Discovery on the Web (KDWeb 2016), 2016.

    @inproceedings{dhiratara2016social,
      title = {Social Media Data Analytics for Tourism - A Preliminary Study},
      author = {Dhiratara, Arkka and Yang, Jie and Bozzon, Alessandro and Houben, Geert-Jan},
      booktitle = {Proceedings of the 2nd Knowledge Discovery on the Web (KDWeb 2016)},
      year = {2016}
    }
    

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19. Jie Yang, and Alessandro Bozzon. “On the Improvement of Quality and Reliability of Trust Cues in Micro-Task Crowdsourcing.” In Weaving Relations of Trust in Crowd Work: Transparency and Reputation across Platforms. Workshop at WebScience, 2016. Bibtex

    On the improvement of quality and reliability of trust cues in micro-task crowdsourcing

    Jie Yang, and Alessandro Bozzon. “On the Improvement of Quality and Reliability of Trust Cues in Micro-Task Crowdsourcing.” In Weaving Relations of Trust in Crowd Work: Transparency and Reputation across Platforms. Workshop at WebScience, 2016.

    @inproceedings{yang2016improvement,
      title = {On the improvement of quality and reliability of trust cues in micro-task crowdsourcing},
      author = {Yang, Jie and Bozzon, Alessandro},
      booktitle = {Weaving Relations of Trust in Crowd Work: Transparency and Reputation across Platforms. Workshop at WebScience},
      year = {2016}
    }
    

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20. Jie Yang, Zhu Sun, Alessandro Bozzon, and Jie Zhang. “Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization.” In Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016). ACM, 2016. Bibtex

    Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization

    Jie Yang, Zhu Sun, Alessandro Bozzon, and Jie Zhang. “Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization.” In Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016). ACM, 2016.

    @inproceedings{yang2016learning,
      title = {Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization},
      author = {Yang, Jie and Sun, Zhu and Bozzon, Alessandro and Zhang, Jie},
      booktitle = {Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016)},
      year = {2016},
      organization = {ACM}
    }
    

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21. Jie Yang, Judith Redi, Gianluca Demartini, and Alessandro Bozzon. “Modeling Task Complexity in Crowdsourcing.” In Proceedings of the 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016). AAAI, 2016. Bibtex

    Modeling Task Complexity in Crowdsourcing

    Jie Yang, Judith Redi, Gianluca Demartini, and Alessandro Bozzon. “Modeling Task Complexity in Crowdsourcing.” In Proceedings of the 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016). AAAI, 2016.

    @inproceedings{yang2016modeling,
      title = {Modeling Task Complexity in Crowdsourcing},
      author = {Yang, Jie and Redi, Judith and Demartini, Gianluca and Bozzon, Alessandro},
      booktitle = {Proceedings of the 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016)},
      year = {2016},
      organization = {AAAI}
    }
    

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