Large Language Model Augmented Narrative Driven Recommendations-Reference-Cited by-同舟云学术

Large Language Model Augmented Narrative Driven Recommendations

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Mysore Sheshera¹^ORCID,Mccallum Andrew¹^ORCID,Zamani Hamed¹^ORCID

Affiliation:

1. University of Massachusetts Amherst, USA

Funder

NSF (National Science Foundation)

Office of Naval Research

Amazon Alexa Prize grant

Chan Zuckerberg Initiative

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608829

Reference49 articles.

1. POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation

2. Tip of the Tongue Known-Item Retrieval

3. “What was this Movie About this Chick?”

4. Toine Bogers , Maria Gäde , Marijn Koolen , Vivien Petras , and Mette Skov . 2019 . “ Looking for an amazing game I can relax and sink hours into...”: A Study of Relevance Aspects in Video Game Discovery. In Information in Contemporary Society: 14th International Conference, iConference 2019, Washington, DC, USA, March 31–April 3, 2019, Proceedings 14 . Springer, 503–515. Toine Bogers, Maria Gäde, Marijn Koolen, Vivien Petras, and Mette Skov. 2019. “Looking for an amazing game I can relax and sink hours into...”: A Study of Relevance Aspects in Video Game Discovery. In Information in Contemporary Society: 14th International Conference, iConference 2019, Washington, DC, USA, March 31–April 3, 2019, Proceedings 14. Springer, 503–515.

5. Defining and Supporting Narrative-driven Recommendation

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