Leveraging Large Language Models for Sequential Recommendation

Author:

Harte Jesse1ORCID,Zorgdrager Wouter2ORCID,Louridas Panos3ORCID,Katsifodimos Asterios4ORCID,Jannach Dietmar5ORCID,Fragkoulis Marios2ORCID

Affiliation:

1. Delivery Hero Research, Germany and Delft University of Technology, Netherlands

2. Delivery Hero Research, Germany

3. Management Science & Technology, Athens University of Economics & Business, Greece

4. Delft University of Technology, Netherlands

5. University of Klagenfurt, Austria

Publisher

ACM

Reference45 articles.

1. Top-N Recommendation Algorithms: A Quest for the State-of-the-Art

2. Keqin Bao Jizhi Zhang Yang Zhang Wenjie Wang Fuli Feng and Xiangnan He. 2023. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. arxiv:2305.00447 [cs.IR] Keqin Bao Jizhi Zhang Yang Zhang Wenjie Wang Fuli Feng and Xiangnan He. 2023. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. arxiv:2305.00447 [cs.IR]

3. James Bergstra , Rémi Bardenet , Yoshua Bengio , and Balázs Kégl . 2011. Algorithms for Hyper-Parameter Optimization . In Advances in Neural Information Processing Systems, Vol. 24. Curran Associates , Inc . James Bergstra, Rémi Bardenet, Yoshua Bengio, and Balázs Kégl. 2011. Algorithms for Hyper-Parameter Optimization. In Advances in Neural Information Processing Systems, Vol. 24. Curran Associates, Inc.

4. 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. Language Models are Few-Shot Learners . In Advances in Neural Information Processing Systems, 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. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems, Vol. 33. Curran Associates, Inc., 1877–1901.

5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

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