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Large language models (LLMs) have shown impressive capabilities in natural language understanding and generation.
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2020 · 1905
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Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul Christiano, and Geoffrey Irving. 2020 · 1909
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Using information scent to model user information needs and actions and the Web. In
Ed H Chi, Peter Pirolli, Kim Chen, and James Pitkow. 2001 · 2001
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Item-based collaborative filtering recommendation algorithms. In
Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. 2001 · 2001
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A taxonomy of web search. In
Andrei Broder. 2002 · 2002
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BLEU: A Method for Automatic Evaluation of Machine Translation. Association for Computational Linguistics, USA
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Understanding user goals in web search. In
Daniel E Rose and Danny Levinson. 2004 · 2004
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BLEURT: Learning Robust Metrics for Text Generation
Thibault Sellam, Dipanjan Das, and Ankur P. Parikh. 2020 · 2004
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Language Models are Few-Shot Learners
Tom B. Brown et al. 2020 · 2005
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Explanations of recommendations. In
Nava Tintarev. 2007 · 2007
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Matrix factorization techniques for recommender systems
Yehuda Koren, Robert Bell, and Chris Volinsky. 2009 · 2009
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Inferring query intent from reformulations and clicks. In
Filip Radlinski, Martin Szummer, and Nick Craswell. 2010 · 2010
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Connecting the dots between news articles. In
Dafna Shahaf and Carlos Guestrin. 2010 · 2010
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Building taxonomy of web search intents for name entity queries. In
Xiaoxin Yin and Sarthak Shah. 2010 · 2010
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Matrix factorization techniques for context aware recommendation. In
Linas Baltrunas, Bernd Ludwig, and Francesco Ricci. 2011 · 2011
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Modeling and analysis of cross-session search tasks. In
Alexander Kotov, Paul N Bennett, Ryen W White, Susan T Dumais, and Jaime Teevan. 2011 · 2011
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Learning to Search Efficiently in High Dimensions. In
Zhen Li, Huazhong Ning, Liangliang Cao, Tong Zhan, Yihong Gong, and Thomas S. Huang. 2011 · 2011
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Identifying task-based sessions in search engine query logs. In
Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, and Gabriele Tolomei. 2011 · 2011
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User-click modeling for understanding and predicting search-behavior. In
Yuchen Zhang, Weizhu Chen, Dong Wang, and Qiang Yang. 2011 · 2011
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Topical clustering of search results. In
Ugo Scaiella, Paolo Ferragina, Andrea Marino, and Massimiliano Ciaramita. 2012 · 2012
Cited alongside, same era.
Trains of thought: Generating information maps. In
Dafna Shahaf, Carlos Guestrin, and Eric Horvitz. 2012 · 2012
Cited alongside, same era.
Enhancing personalized search by mining and modeling task behavior. In
Ryen W White, Wei Chu, Ahmed Hassan, Xiaodong He, Yang Song, and Hongning Wang. 2013 · 2013
Cited alongside, same era.
User modeling for a personal assistant. In
Ramanathan Guha, Vineet Gupta, Vivek Raghunathan, and Ramakrishnan Srikant. 2015 · 2015
Cited alongside, same era.
Deep neural networks for youtube recommendations. In
Paul Covington, Jay Adams, and Emre Sargin. 2016 · 2016
Cited alongside, same era.
Behaviorism is not enough: better recommendations through listening to users. In
Michael D Ekstrand and Martijn C Willemsen. 2016 · 2016
Top-k off-policy correction for a REINFORCE recommender system. In
Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, and Ed H Chi. 2019 · 2019
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Recommender system for developing new preferences and goals. In
Yu Liang. 2019 · 2019
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Jointly leveraging intent and interaction signals to predict user satisfaction with slate recommendations. In
Rishabh Mehrotra, Mounia Lalmas, Doug Kenney, Thomas Lim-Meng, and Golli Hashemian. 2019 · 2019
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Practice on long sequential user behavior modeling for click-through rate prediction. In
Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, and Kun Gai. 2019 · 2019
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BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019
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Cited alongside, same era.
Identifying salient items in documents
Michael Gamon, Patrick Pantel, Xinying Song, Tae Yano, and Johnson Tan Apacible. 2016 · 2016
Cited alongside, same era.
User control in recommender systems: Overview and interaction challenges. In
Dietmar Jannach, Sidra Naveed, and Michael Jugovac. 2017 · 2016
Cited alongside, same era.
Improving topic clustering on search queries with word co-occurrence and bipartite graph co-clustering
Jing Kong, Alex Scott, and Georg M Goerg. 2016 · 2016
Cited alongside, same era.
Query-less: Predicting task repetition for nextgen proactive search and recommendation engines. In
Yang Song and Qi Guo. 2016 · 2016
Cited alongside, same era.
Contextual intent tracking for personal assistants. In
Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, and Rui Zhang. 2016 · 2016
Cited alongside, same era.
Intent-aware contextual recommendation system. In
Biswarup Bhattacharya, Iftikhar Burhanuddin, Abhilasha Sancheti, and Kushal Satya. 2017 · 2017
Cited alongside, same era.
Deep interest evolution network for click-through rate prediction. In
Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, and Kun Gai. 2019 · 2019
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Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. In
Weize Kong, Mike Bendersky, Marc Najork, Brandon Vargo, and Mike Colagrosso. 2020 · 2020
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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John Healy, and James Melville. 2020 · 2020
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Toward activity discovery in the personal web. In
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, and Paul N Bennett. 2020 · 2020
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The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester, Rami Al-Rfou, and Noah Constant. 2021 · 2021
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Palm: Scaling language modeling with pathways
Aakanksha et al. Chowdhery. 2022 · 2022
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Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5). In
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang. 2022 · 2022
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PinnerFormer: Sequence Modeling for User Representation at Pinterest
Nikil Pancha, Andrew Zhai, Jure Leskovec, and Charles Rosenberg. 2022 · 2022
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On Natural Language User Profiles for Transparent and Scrutable Recommendation
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, and Ben Wedin. 2022 · 2022
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi et al. Srivastava. 2022 · 2022
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Lamda: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, et al · 2022
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Finetuned Language Models Are Zero-Shot Learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V. Le. 2022 · 2022
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Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender Systems. In
Yu Liang, Aditya Ponnada, Paul Lamere, and Nediyana Daskalova. 2023 · 2023
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