Here’s our harvest for SIGIR 2019, which is about to get started in less than 24 hours:

  • Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, and Maarten de Rijke. Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?. In FACTS-IR: SIGIR 2019 Workshop on Fairness, Accountability, Confidentiality, Transparency and Safety in Information Retrieval, July 2019. Bibtex, PDF
    @inproceedings{baan-2019-do,
    Author = {Baan, Joris and ter Hoeve, Maartje and van der Wees, Marlies and Schuth, Anne and de Rijke, Maarten},
    Booktitle = {FACTS-IR: SIGIR 2019 Workshop on Fairness, Accountability, Confidentiality, Transparency and Safety in Information Retrieval},
    Date-Added = {2019-05-31 22:24:14 +0200},
    Date-Modified = {2019-05-31 22:38:02 +0200},
    Month = {July},
    Title = {Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?},
    Year = {2019}}
  • Yifan Chen, Pengjie Ren, Yang Wang, and Maarten de Rijke. Bayesian Personalized Feature Interaction Selection for Factorization Machines. In SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval, page 665–674. ACM, July 2019. Bibtex, PDF
    @inproceedings{chen-2019-bayesian,
    Author = {Chen, Yifan and Ren, Pengjie and Wang, Yang and de Rijke, Maarten},
    Booktitle = {SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2019-04-14 16:48:31 +0200},
    Date-Modified = {2019-08-02 15:58:43 +0200},
    Month = {July},
    Pages = {665--674},
    Publisher = {ACM},
    Title = {Bayesian Personalized Feature Interaction Selection for Factorization Machines},
    Year = {2019}}
  • Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, and Maarten de Rijke. M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs. In SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval, page 913–916. ACM, July 2019. Bibtex, PDF
    @inproceedings{fang-2019-m-hin,
    Author = {Fang, Yang and Zhao, Xiang and Huang, Peixin and Xiao, Weidong and de Rijke, Maarten},
    Booktitle = {SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2019-04-14 21:00:49 +0200},
    Date-Modified = {2019-08-02 15:59:43 +0200},
    Month = {July},
    Pages = {913--916},
    Publisher = {ACM},
    Title = {M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs},
    Year = {2019}}
  • Rolf Jagerman, Harrie Oosterhuis, and Maarten de Rijke. To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. In SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval, page 15–24. ACM, July 2019. Bibtex, PDF
    @inproceedings{jagerman-2019-model,
    Author = {Jagerman, Rolf and Oosterhuis, Harrie and de Rijke, Maarten},
    Booktitle = {SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2019-04-14 16:45:43 +0200},
    Date-Modified = {2019-08-02 15:58:05 +0200},
    Month = {July},
    Pages = {15--24},
    Publisher = {ACM},
    Title = {To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions},
    Year = {2019}}
  • Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, and Maarten de Rijke. Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. In SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval, page 1419–1420, ACM, July 2019. Bibtex, PDF
    @inproceedings{lucchese-2019-learning,
    Address = {ACM},
    Author = {Lucchese, Claudio and Nardini, Franco Maria and Pasumarthi, Rama Kumar and Bruch, Sebastian and Bendersky, Michael and Wang, Xuanhui and Oosterhuis, Harrie and Jagerman, Rolf and de Rijke, Maarten},
    Booktitle = {SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2019-05-31 22:47:26 +0200},
    Date-Modified = {2019-08-02 16:00:12 +0200},
    Month = {July},
    Pages = {1419--1420},
    Title = {Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning},
    Year = {2019}}
  • Ana Lucic, Hinda Haned, and Maarten de Rijke. Explaining Predictions from Tree-based Boosting Ensembles. In FACTS-IR: SIGIR 2019 Workshop on Fairness, Accountability, Confidentiality, Transparency and Safety in Information Retrieval, July 2019. Bibtex, PDF
    @inproceedings{lucic-2019-explaining,
    Author = {Lucic, Ana and Haned, Hinda and de Rijke, Maarten},
    Booktitle = {FACTS-IR: SIGIR 2019 Workshop on Fairness, Accountability, Confidentiality, Transparency and Safety in Information Retrieval},
    Date-Added = {2019-05-31 22:21:39 +0200},
    Date-Modified = {2019-05-31 22:38:12 +0200},
    Month = {July},
    Title = {Explaining Predictions from Tree-based Boosting Ensembles},
    Year = {2019}}
  • Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, and Maarten de Rijke. $\pi$-Net: A Parallel Information-sharing Network for Cross-domain Shared-account Sequential Recommendations. In SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval, page 685–694. ACM, July 2019. Bibtex, PDF
    @inproceedings{ma-2019-pi-net,
    Author = {Ma, Muyang and Ren, Pengjie and Lin, Yujie and Chen, Zhumin and Ma, Jun and de Rijke, Maarten},
    Booktitle = {SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2019-04-14 16:49:57 +0200},
    Date-Modified = {2019-08-02 15:59:03 +0200},
    Month = {July},
    Pages = {685--694},
    Publisher = {ACM},
    Title = {$\pi$-Net: A Parallel Information-sharing Network for Cross-domain Shared-account Sequential Recommendations},
    Year = {2019}}
  • Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, and Michael D. Ekstrand. Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR). In SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval, page 1423–1425. ACM, July 2019. Bibtex, PDF
    @inproceedings{olteanu-2019-workshop,
    Author = {Olteanu, Alexandra and Garcia-Gathright, Jean and de Rijke, Maarten and Ekstrand, Michael D.},
    Booktitle = {SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2019-05-31 22:51:14 +0200},
    Date-Modified = {2019-08-02 16:00:36 +0200},
    Month = {July},
    Pages = {1423--1425},
    Publisher = {ACM},
    Title = {Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR)},
    Year = {2019}}
  • Jiahuan Pei, Pengjie Ren, and Maarten de Rijke. A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts. In WCIS: SIGIR 2019 Workshop on Conversational Interaction Systems. ACM, July 2019. Bibtex, PDF
    @inproceedings{pei-2019-modular,
    Author = {Pei, Jiahuan and Ren, Pengjie and de Rijke, Maarten},
    Booktitle = {WCIS: SIGIR 2019 Workshop on Conversational Interaction Systems},
    Date-Added = {2019-06-01 07:18:46 +0200},
    Date-Modified = {2019-07-14 12:24:23 +0200},
    Month = {July},
    Publisher = {ACM},
    Title = {A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts},
    Year = {2019}}
  • Taihua Shao, Fei Cai, Honghui Chen, and Maarten de Rijke. Length-adaptive Neural Network for Answer Selection. In SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval, page 869–872. ACM, July 2019. Bibtex, PDF
    @inproceedings{shao-2019-length-adaptive,
    Author = {Shao, Taihua and Cai, Fei and Chen, Honghui and de Rijke, Maarten},
    Booktitle = {SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2019-04-14 20:59:02 +0200},
    Date-Modified = {2019-08-02 15:59:20 +0200},
    Month = {July},
    Pages = {869--872},
    Publisher = {ACM},
    Title = {Length-adaptive Neural Network for Answer Selection},
    Year = {2019}}
  • Meirui Wang, Pengjie Ren, Lei Mei, Zhumin Chen, Jun Ma, and Maarten de Rijke. A Collaborative Session-based Recommendation Approach with Parallel Memory Modules. In SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval, page 345–354. ACM, July 2019. Bibtex, PDF
    @inproceedings{wang-2019-collaborative,
    Author = {Wang, Meirui and Ren, Pengjie and Mei, Lei and Chen, Zhumin and Ma, Jun and de Rijke, Maarten},
    Booktitle = {SIGIR 2019: 42nd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2019-04-14 16:52:16 +0200},
    Date-Modified = {2019-08-02 15:58:23 +0200},
    Month = {July},
    Pages = {345--354},
    Publisher = {ACM},
    Title = {A Collaborative Session-based Recommendation Approach with Parallel Memory Modules},
    Year = {2019}}