conference-paper
Augmenting Keyword-based Search in Mobile Applications Using LLMs
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Abstract
Search in mobile applications has traditionally been keyword driven and limited to simple queries, such as searching for product names, even when the apps support much richer, transactional experiences. On the other hand, search on the web has evolved into queries that are complex, objective-based and most often in natural language. The recent advances in Generative AI make it possible to bring the power of web-like, conversational searches into mobile applications. In this talk, we present the various problems, opportunities and challenges in harnessing LLMs to augment the traditional search experience in mobile applications.
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Publication details
- DOI
- 10.1145/3616855.3635745
- OpenAlex
- W4392384761
- Document type
- conference-paper
- Language
- EN
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