Abstract
The information retrieval systems that utilize general ranking algorithms may not consistently surface content from sources an individual user personally trusts, potentially leading to a less personalized experience. Systems and methods can provide a framework for users to explicitly designate preferred content sources. These preferences may be stored and retrieved when a user performs a search. With appropriate user permissions being obtained, the search process can be modified to incorporate these preferences, for example, by performing a parallel search restricted to the preferred sources or by applying a ranking boost to content originating from these sources. This approach can result in an adjusted presentation of search results that increases the prominence of content from the user's selected sources, supplementing a standard result set to offer a more personalized information retrieval experience without creating a restrictive filter.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shah, Deep; Bhandari, Aditya; Fernandes, Phelipe; and Meave-Ohrt, Chris, "User-Specified Source Preferences for Personalizing Information Retrieval Results", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/8875