GEO: Generative Engine Optimization-Reference-Cited by-同舟云学术

GEO: Generative Engine Optimization

Published:2024-08-24 Issue: Volume:33 Page:5-16
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Aggarwal Pranjal¹^ORCID,Murahari Vishvak²^ORCID,Rajpurohit Tanmay³^ORCID,Kalyan Ashwin³^ORCID,Narasimhan Karthik²^ORCID,Deshpande Ameet²^ORCID

Affiliation:

1. Indian Institute of Technology Delhi, New Delhi, India

2. Princeton University, Princeton, USA

3. Independent, Seattle, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671900

Reference25 articles.

1. ORCAS-I

2. Prashant Ankalkoti. 2017. Survey on Search Engine Optimization Tools & Techniques. Imperial journal of interdisciplinary research, Vol. 3 (2017). https://api.semanticscholar.org/CorpusID:116487363

3. Akari Asai, Xinyan Velocity Yu, Jungo Kasai, and Hannaneh Hajishirzi. 2021. One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval. In Neural Information Processing Systems. https://api.semanticscholar.org/CorpusID:236428949

4. The anatomy of a large-scale hypertextual Web search engine

5. 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, H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877--1901. https://proceedings.neurips.cc/paper_files/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf