Qilin Dataset: 8.4M Multimodal Search Sessions Across 9 Mobile Apps
Qilin dataset tracks 8.4M multimodal search sessions across 9 mobile apps, featuring text, image & hybrid queries with results. First dataset to track user behaviors between multiple apps in sequence.
This is a Plain English Papers summary of a research paper called First Cross-App Multimodal Search Dataset Shows How Users Navigate Mobile Apps. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Qilin dataset contains 8.4 million multimodal search sessions from real mobile app usage Features interactions across 9 different mobile apps with diverse content types Includes text, image, and hybrid search queries with corresponding search results First dataset to track user behaviors across multiple apps in sequence Contains 2.2 million u...