Abstract
Information retrieval systems designed for individual use may be inefficient for collaborative tasks, potentially requiring participants to search in isolation and manually share findings through disconnected channels, such as email or chat applications. A framework for synchronous, multi-user information retrieval sessions can synchronize participant actions in near real-time across multiple devices (e.g., smartphones, laptops, tablets, wearable devices). The system can allow a user to initiate a shared session and may generate a group-personalized set of results by synthesizing the profiles and contexts of the session participants. The framework may also provide an interactive collaboration layer with tools for shared bookmarking, highlighting, and annotation. This approach can offer an integrated environment that combines searching, sharing, and collaborating into a unified interface, which may reduce workflow friction and can create a persistent record of a group's discovery process.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Marques, Paula, "Synchronous Multi-User Search Sessions with Group-Personalized Results", Technical Disclosure Commons, (February 09, 2026)
https://www.tdcommons.org/dpubs_series/9288