We keep an eye out for the most interesting stories about Labby subjects: digital media, startups, the web, journalism, strategy, and more. Here’s some of what we’ve seen lately.
The New York Times / Alexander Spangher / Aug 12, 2015
The Times reconceptualized its article recommendation engine by modeling article content and reader preferences with topics, then adjusting based on reading patterns. —SW
Wang, Shan. "Revamping The New York Times recommendation engine." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 12 Aug. 2015. Web. 15 Nov. 2024.
APA
Wang, S. (2015, Aug. 12). Revamping The New York Times recommendation engine. Nieman Journalism Lab. Retrieved November 15, 2024, from https://www.niemanlab.org/reading/revamping-the-new-york-times-recommendation-engine/
Chicago
Wang, Shan. "Revamping The New York Times recommendation engine." Nieman Journalism Lab. Last modified August 12, 2015. Accessed November 15, 2024. https://www.niemanlab.org/reading/revamping-the-new-york-times-recommendation-engine/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/reading/revamping-the-new-york-times-recommendation-engine/
| title = Revamping The New York Times recommendation engine
| last = Wang
| first = Shan
| work = [[Nieman Journalism Lab]]
| date = 12 August 2015
| accessdate = 15 November 2024
| ref = {{harvid|Wang|2015}}
}}