| 2023 | A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals. | Daniel Vera Nieto, Saikishore Kalloori, Fabio Zund, Clara Fernandez-Labrador, Marc Willhaus, Severin Klingler, Markus Gross |
| 2023 | Adapting Learned Sparse Retrieval for Long Documents. | Thong Nguyen, Sean MacAvaney, Andrew Yates |
| 2023 | News Popularity Beyond the Click-Through-Rate for Personalized Recommendations. | Ashutosh Nayak, Mayur Garg, Rajasekhara Reddy Duvvuru Muni |
| 2023 | MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. | Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim |
| 2023 | Generative Information Retrieval. | Marc Najork |
| 2023 | BLADE: Combining Vocabulary Pruning and Intermediate Pretraining for Scaleable Neural CLIR. | Suraj Nair, Eugene Yang, Dawn J. Lawrie, James Mayfield, Douglas W. Oard |
| 2023 | Editable User Profiles for Controllable Text Recommendations. | Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani |
| 2023 | Measuring Service-Level Learning Effects in Search Via Query-Randomized Experiments. | Paul Musgrave, Cuize Han, Parth Gupta |
| 2023 | It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation. | Jaewan Moon, Hye-young Kim, Jongwuk Lee |
| 2023 | Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. | Nicola Messina, Jan Sedmidubsk, Fabrizio Falchi, Toms Rebok |
| 2023 | Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. | Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Alberto Carlo Maria Mancino |
| 2023 | Query Performance Prediction: From Ad-hoc to Conversational Search. | Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke |
| 2023 | Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic Research. | Francesco Meggetto, Yashar Moshfeghi |
| 2023 | Defining and Measuring Cost, Effort, and Load in Information Retrieval. | Molly McGregor |
| 2023 | MobileRec: A Large Scale Dataset for Mobile Apps Recommendation. | Muhammad Hasan Maqbool, Umar Farooq, Adib Mosharrof, A. B. Siddique, Hassan Foroosh |
| 2023 | Session Search with Pre-trained Graph Classification Model. | Shengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang |
| 2023 | Generative Relevance Feedback with Large Language Models. | Iain Mackie, Shubham Chatterjee, Jeffrey Dalton |
| 2023 | One-Shot Labeling for Automatic Relevance Estimation. | Sean MacAvaney, Luca Soldaini |
| 2023 | Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation. | Xiangkui Lu, Jun Wu, Jianbo Yuan |
| 2023 | User-Dependent Learning to Debias for Recommendation. | Fangyuan Luo, Jun Wu |
| 2023 | Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. | Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan |
| 2023 | Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. | Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin |
| 2023 | Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation. | Michael Llordes, Debasis Ganguly, Sumit Bhatia, Chirag Agarwal |
| 2023 | TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. | Jingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen, Jun Zhou |
| 2023 | Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network. | Ran Li, Liang Zhang, Guannan Liu, Junjie Wu |