DAY 1 14:20-14:50 JST Main Room C
Ja
Streaming

Challenges in Ambiguous Search Using Hybrid Search and Abbreviation Extraction in "LINE MUSIC"

We want to deliver the search results users want, even when queries contain mistyped words or abbreviations.” - We believe this is an issue that many services face, and LINE MUSIC is one of them. In this session, we will talk about our efforts to solve this problem using machine learning-based search techniques. We plan to cover the two approaches we have implemented - vector search using a word embedding model and tie-up abbreviation extraction using generative AI - and provide technical explanations of the architecture and implementation ideas, as well as the process leading up to production deployment. We hope this session will be useful in your product development.

Presentation Materials Video (Available Soon)

Speaker

Tada Taku

Tada Taku / LY Corporation

Entertainment Company > Music Development Division > Server Team

  • X
  • GitHub

I joined LINE Corporation as a new graduate in 2020. I'm responsible for server-side development for LINE MUSIC, mainly worked on developing features related to search and data processing.

Mori Jumpei

Mori Jumpei / LY Corporation

Entertainment Company > Music Development Division > Server Team

  • GitHub

In 2022, I joined LINE Corporation as a new graduate. Since the same year, I have been engaged in server development for LINE MUSIC, handling tasks related to large-scale data processing and search.

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