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Natural interaction with recommendation and personalized search systems has received tremendous attention in recent years.
Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
Earlier work this paper cites.
A Business Intelligence System
Hans Peter Luhn. 1958 · 1958
Earlier work this paper cites.
Selective Dissemination of Information (SDI): State of the Art in May, 1963. In Proceedings of the May 21-23, 1963, Spring Joint Computer Conference (AFIPS ’63 (Spring)) . 257–262
C. B. Hensley. 1963 · 1963
Earlier work this paper cites.
Information Filtering and Information Retrieval: Two Sides of the Same Coin?
Nicholas J. Belkin and W. Bruce Croft. 1992 · 1992
Earlier work this paper cites.
Analysis of the Reliability of Preference Ranking Data
Moshe Ben-Akiva, Takayuki Morikawa, and Fumiaki Shiroishi. 1992 · 1992
Earlier work this paper cites.
The DARPA Tipster Project. In ACM SIGIR Forum , Vol. 26. 26–28
Donna Harman. 1992 · 1992
Earlier work this paper cites.
Document Detection Data Preparation. In TIPSTER TEXT PROGRAM: PHASE I: Proceedings of a Workshop held at Fredricksburg, Virginia, September 19-23, 1993 . 17–31
Donna Harman. 1993 · 1993
Earlier work this paper cites.
On Recommending
Jonathan Furner. 2002 · 2002
Earlier work this paper cites.
The Role of Transparency in Recommender Systems. In CHI ’02 Extended Abstracts on Human Factors in Computing Systems (CHI EA ’02) . 830–831
Rashmi Sinha and Kirsten Swearingen. 2002 · 2002
Earlier work this paper cites.
WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang, Colin Raffel, Katherine Lee, Adam Roberts, Noah Fiedel, and Karishma Malkan. 2020 · 2004
Earlier work this paper cites.
Overview of the TREC 2004 Robust Track. In Proceedings of the 13th Text REtrieval Conference (TREC 2004)
Ellen M. Voorhees. 2004 · 2004
Earlier work this paper cites.
A Study of Smoothing Methods for Language Models Applied to Information Retrieval
Chengxiang Zhai and John Lafferty. 2004 · 2004
Earlier work this paper cites.
Trust in Recommender Systems. In Proceedings of the 10th International Conference on Intelligent User Interfaces (IUI ’05) . 167–174
John O’Donovan and Barry Smyth. 2005 · 2005
Earlier work this paper cites.
Personalizing Search via Automated Analysis of Interests and Activities. In Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’05) . 235–244
Jaime Teevan, Susan T. Dumais, and Eric Horvitz. 2005 · 2005
Earlier work this paper cites.
TREC: Experiment and Evaluation in Information Retrieval
Ellen M. Voorhees and Donna K. Harman (Eds.). 2005 · 2005
Earlier work this paper cites.
Preferences over Sets. In Proceedings of the Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference . 1101–1106
Ronen I. Brafman, Carmel Domshlak, Solomon Eyal Shimony, and Y. Silver. 2006 · 2006
Earlier work this paper cites.
Evaluation of Text Generation: A Survey
Asli Celikyilmaz, Elizabeth Clark, and Jianfeng Gao. 2021 · 2006
Earlier work this paper cites.
Learning User Preferences for Sets of Objects. In Proceedings of the 23rd International Conference on Machine Learning (ICML ’06) . 273–280
Marie desJardins, Eric Eaton, and Kiri L. Wagstaff. 2006 · 2006
Earlier work this paper cites.
Making Recommendations Better: An Analytic Model for Human-Recommender Interaction. In CHI ’06 Extended Abstracts on Human Factors in Computing Systems (CHI EA ’06) . 1103–1108
Sean M. McNee, John Riedl, and Joseph A. Konstan. 2006 · 2006
Earlier work this paper cites.
Tagging, Communities, Vocabulary, Evolution. In Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work (CSCW ’06) . 181–190
Shilad Sen, Shyong K. Lam, Al Mamunur Rashid, Dan Cosley, Dan Frankowski, Jeremy Osterhouse, F. Maxwell Harper, and John Riedl. 2006 · 2006
Earlier work this paper cites.
The Benefit of Using Tag-Based Profiles. In 2007 Latin American Web Conference (LA-WEB ’07) . 32–41
Claudiu S Firan, Wolfgang Nejdl, and Raluca Paiu. 2007 · 2007
Earlier work this paper cites.
The Relation between User Intervention and User Satisfaction for Information Recommendation. In Proceedings of the 27th Annual ACM Symposium on Applied Computing (SAC ’12) . 2002–2007
Yoshinori Hijikata, Yuki Kai, and Shogo Nishida. 2012 · 2007
Earlier work this paper cites.
Investigating Pretrained Language Models for Graph-to-Text Generation
Leonardo FR Ribeiro, Martin Schmitt, Hinrich Schütze, and Iryna Gurevych. 2020 · 2007
Earlier work this paper cites.
The Quest for Quality Tags. In Proceedings of the 2007 International ACM Conference on Supporting Group Work (GROUP ’07) . 361–370
Shilad Sen, F. Maxwell Harper, Adam LaPitz, and John Riedl. 2007 · 2007
Earlier work this paper cites.
Discovering Key Concepts in Verbose Queries. In Proceedings of the 31st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’08) . 491–498
Michael Bendersky and W. Bruce Croft. 2008 · 2008
Earlier work this paper cites.
Addressing Cold-Start Problem in Recommendation Systems. In Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication (ICUIMC ’08) . 208–211
Xuan Nhat Lam, Thuc Vu, Trong Duc Le, and Anh Duc Duong. 2008 · 2008
Earlier work this paper cites.
Analysis of Long Queries in a Large Scale Search Log. In Proceedings of the 2009 Workshop on Web Search Click Data (WSCD ’09) . 8–14
Michael Bendersky and W. Bruce Croft. 2009 · 2009
Earlier work this paper cites.
A Personalized Tag-Based Recommendation in Social Web Systems. In Proceedings of the Workshop on Adaptation and Personalization for Web 2.0
Frederico Araújo Durão and Peter Dolog. 2009 · 2009
Earlier work this paper cites.
TripTip: A Trip Planning Service with Tag-based Recommendation. In CHI’09 Extended Abstracts on Human Factors in Computing Systems (CHI EA ’09) . 3467–3472
Jinyoung Kim, Hyungjin Kim, and Jung-hee Ryu. 2009 · 2009
Earlier work this paper cites.
Tagsplanations: Explaining Recommendations Using Tags. In Proceedings of the 14th International Conference on Intelligent User Interfaces (IUI ’09) . 47–56
Jesse Vig, Shilad Sen, and John Riedl. 2009 · 2009
Earlier work this paper cites.
Learning Concept Importance Using a Weighted Dependence Model. In Proceedings of the Third ACM International Conference on Web Search and Data Mining (WSDM ’10) . 31–40
Michael Bendersky, Donald Metzler, and W. Bruce Croft. 2010 · 2010
Cited alongside, same era.
Le Zhao and Jamie Callan. 2010 · 2010
Cited alongside, same era.
Personalizing Web Search Using Long Term Browsing History. In Proceedings of the Fourth ACM International Conference on Web Search and Data Mining (WSDM ’11) . 25–34
Nicolaas Matthijs and Filip Radlinski. 2011 · 2011
Cited alongside, same era.
Managing Contextual Preferences
Kostas Stefanidis, Evaggelia Pitoura, and Panos Vassiliadis. 2011 · 2011
Cited alongside, same era.
TasteWeights: A Visual Interactive Hybrid Recommender System. In Proceedings of the Sixth ACM Conference on Recommender Systems (RecSys ’12) . 35–42
Understanding and Evaluating User Satisfaction with Music Discovery. In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’18) . 55–64
Jean Garcia-Gathright, Brian St. Thomas, Christine Hosey, Zahra Nazari, and Fernando Diaz. 2018 · 2018
Later among the works it cites.
Effects of Personal Characteristics on Music Recommender Systems with Different Levels of Controllability. In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18) . 13–21
Yucheng Jin, Nava Tintarev, and Katrien Verbert. 2018 · 2018
Later among the works it cites.
On Analyzing User Preference Dynamics with Temporal Social Networks
Fabíola S. F. Pereira, João Gama, Sandra de Amo, and Gina M. B. Oliveira. 2018 · 2018
Later among the works it cites.
Conversational Recommender System. In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’18) . 235–244
Yueming Sun and Yi Zhang. 2018 · 2018
Later among the works it cites.
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Svetlin Bostandjiev, John O’Donovan, and Tobias Höllerer. 2012 · 2012
Cited alongside, same era.
Inspectability and Control in Social Recommenders. In Proceedings of the Sixth ACM Conference on Recommender Systems (RecSys ’12) . 43–50
Bart P. Knijnenburg, Svetlin Bostandjiev, John O’Donovan, and Alfred Kobsa. 2012 · 2012
Cited alongside, same era.
Evaluating the Effectiveness of Explanations for Recommender Systems
Nava Tintarev and Judith Masthoff. 2012 · 2012
Cited alongside, same era.
Auralist: Introducing Serendipity into Music Recommendation. In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining (WSDM ’12) . 13–22
Yuan Cao Zhang, Diarmuid Ó Séaghdha, Daniele Quercia, and Tamas Jambor. 2012 · 2012
Cited alongside, same era.
Improving IMDb Movie Recommendations with Interactive Settings and Filters. In Poster Proceedings of the 8th ACM Conference on Recommender Systems (RecSys ’14)
Simon Dooms, Toon De Pessemier, and Luc Martens. 2014 · 2014
Cited alongside, same era.
How Should I Explain? A Comparison of Different Explanation Types for Recommender Systems
Fatih Gedikli, Dietmar Jannach, and Mouzhi Ge. 2014 · 2014
Cited alongside, same era.
A Fixed-Point Method for Weighting Terms in Verbose Informational Queries. In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (CIKM ’14) . 131–140
Jiaul H. Paik and Douglas W. Oard. 2014 · 2014
Cited alongside, same era.
Semantic Stability in Social Tagging Streams. In Proceedings of the 23rd International Conference on World Wide Web (WWW ’14) . 735–746
Claudia Wagner, Philipp Singer, Markus Strohmaier, and Bernardo A. Huberman. 2014 · 2014
Cited alongside, same era.
On the Robustness and Discriminative Power of Information Retrieval Metrics for Top-N Recommendation. In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18) . 260–268
Daniel Valcarce, Alejandro Bellogín, Javier Parapar, and Pablo Castells. 2018 · 2018
Later among the works it cites.
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) (NAACL ’18) . 15–20
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2018 · 2018
Later among the works it cites.
Transparent, Scrutable and Explainable User Models for Personalized Recommendation. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’19) . 265–274
Krisztian Balog, Filip Radlinski, and Shushan Arakelyan. 2019 · 2019
Later among the works it cites.
How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. In The World Wide Web Conference (WWW ’19) . 240–250
Li Chen, Yonghua Yang, Ningxia Wang, Keping Yang, and Quan Yuan. 2019 · 2019
Later among the works it cites.
Designing for the Better by Taking Users into Account: A Qualitative Evaluation of User Control Mechanisms in (News) Recommender Systems. In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys ’19) . 69–77
Jaron Harambam, Dimitrios Bountouridis, Mykola Makhortykh, and Joris van Hoboken. 2019 · 2019
Later among the works it cites.
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’19) . 1073–1082
Hoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, and Sehee Chung. 2019 · 2019
Later among the works it cites.
Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences. In Proceedings of the Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL ’19) . 353–360
Filip Radlinski, Krisztian Balog, Bill Byrne, and Karthik Krishnamoorthi. 2019 · 2019
Later among the works it cites.
Identifying Unclear Questions in Community Question Answering Websites. In Proceedings of the 41th European Conference on Advances in Information Retrieval (ECIR ’19) . 276–289
Jan Trienes and Krisztian Balog. 2019 · 2019
Later among the works it cites.
Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20) . 329–338
Krisztian Balog and Filip Radlinski. 2020 · 2020
Later among the works it cites.
Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study. In Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’20) . 183–191
Thao Ngo, Johannes Kunkel, and Jürgen Ziegler. 2020 · 2020
Later among the works it cites.
How Useful Are Reviews for Recommendation? A Critical Review and Potential Improvements. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20) . 1845–1848
Noveen Sachdeva and Julian McAuley. 2020 · 2020
Later among the works it cites.
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, and Hongzhi Yin. 2020 · 2020
Later among the works it cites.
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang and Xu Chen. 2020 · 2020
Later among the works it cites.
POINTREC: A Test Collection for Narrative-Driven Point of Interest Recommendation. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21) . 2478–2484
Jafar Afzali, Aleksander Mark Drzewiecki, and Krisztian Balog. 2021 · 2021
Later among the works it cites.
On Interpretation and Measurement of Soft Attributes for Recommendation. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21) . 890–899
Krisztian Balog, Filip Radlinski, and Alexandros Karatzoglou. 2021 · 2021
Later among the works it cites.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’21) . 610–623
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
Later among the works it cites.
Rebounding Bandits for Modeling Satiation Effects. In Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS ’21)
Liu Leqi, Fatma Kilinc-Karzan, Zachary C. Lipton, and Alan L. Montgomery. 2021 · 2021
Later among the works it cites.
The Power of Scale for Parameter-Efficient Prompt Tuning. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP ’21) . 3045–3059
Brian Lester, Rami Al-Rfou, and Noah Constant. 2021 · 2021
Later among the works it cites.
How the Design of YouTube Influences User Sense of Agency. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21) . Article 368
Kai Lukoff, Ulrik Lyngs, Himanshu Zade, J. Vera Liao, James Choi, Kaiyue Fan, Sean A. Munson, and Alexis Hiniker. 2021 · 2021
Later among the works it cites.
A Workflow Analysis of Context-driven Conversational Recommendation. In Proceedings of the Web Conference 2021 (WWW ’21) . 866–877
Shengnan Lyu, Arpit Rana, Scott Sanner, and Mohamed Reda Bouadjenek. 2021 · 2021
Later among the works it cites.
Disentangling Preference Representations for Recommendation Critiquing with β − \beta- VAE. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM ’21) . 1356–1365
Preksha Nema, Alexandros Karatzoglou, and Filip Radlinski. 2021 · 2021
Later among the works it cites.
Argumentative Explanations for Interactive Recommendations
Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David Lagnado, and Francesca Toni. 2021 · 2021
Later among the works it cites.
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (EACL ’21) . 2540–2549
Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juro Gottweis, Fei Sha, and Ilya Eckstein. 2021 · 2021
Later among the works it cites.
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI ’22)
Filip Radlinski, Craig Boutilier, Deepak Ramachandran, and Ivan Vendrov. 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, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Aguera-Arcas, Claire Cui, Marian Croak, Ed Chi, and Quoc Le. 2022 · 2022
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Hamed Zamani, Johanne R. Trippas, Jeff Dalton, and Filip Radlinski. 2022 · 2022
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