Recommender Systems for Local Journalism
Details
Dear ACM Chicago Chapter members! On Wednesday, January 14th, we are hosting an in-person event at the Northwestern University Evanston Campus.
The event will be held in Ford Hive, Room 2350 at Northwestern University’s McCormick School of Engineering. For directions and parking information, please refer to the campus map: https://www.mccormick.northwestern.edu/contact/maps.html#tech
Event Description:
Recommender Systems for Local Journalism
Description
This talk traces the evolution of recommender systems from early heuristics and matrix factorization to modern learning-to-rank and LLM-enhanced approaches, then looks ahead to where the field is going. After a brief cross-domain survey, the focus narrows to news and local-news recommenders. Payam will present his recent research along with a forward-looking vision for how tailored recommender systems can help revitalize local journalism and support more informed, engaged communities.
Agenda:
(Times are Central Daylight Time)
6:00 to 6:05 PM Introductions
6:05 to 6:45 PM Talk
6:45 to 6:55 PM Q&A
6:55 to 7:00 PM Adjournment
Sponsors
