From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing.Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik Learned-Miller, and Jaap Kamps. CIKM.
Differentiable Unbiased Online Learning to Rank. Harrie Oosterhuis and Maarten de Rijke. CIKM.
Mix ’n Match: Integrating Text Matching and Product Substitutability within Product Search. Christophe Van Gysel, Maarten de Rijke, and Evangelos Kanoulas. CIKM.
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng. SIGIR.
Ranking for Relevance and Display Preferences in Complex Presentation Layouts. Harrie Oosterhuis and Maarten de Rijke. SIGIR.
SearchX: Empowering Collaborative Search Research. Sindunuraga Rikarno Putra, Felipe Moraes, and Claudia Hauff. SIGIR.
Sensitive and Scalable Online Evaluation with Theoretical Guarantees. Harrie Oosterhuis and Maarten de Rijke. CIKM.
Balancing speed and quality in online learning to rank for information retrieval. Harrie Oosterhuis and Maarten de Rijke. CIKM.
Learning to Match Using Local and Distributed Representations of Text for Web Search. Bhaskar Mitra, Fernando Diaz, and Nick Craswell. WWW.
Temporal Effects on Hashtag Reuse in Twtter: A Cognitive-Inspired Hashtag Recommendation Approach. Dominik Kowald, Subhash Pujari, and Elisabeth Lex. WWW.
On effective dynamic search in specialized domains. Felipe Moraes, Rodrygo L. T. Santos and Nivio Ziviani. ICTIR.
Learning Latent Vector Spaces for Product Search. Christophe Van Gysel, Maarten de Rijke, and Evangelos Kanoulas. CIKM.
A Deep Relevance Matching Model for Ad-hoc Retrieval. Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft. CIKM.
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