On The NY Times OPEN Blog Alexander Spangher writes:
In this post, I’ll discuss our recent work revamping The New York Times’s article recommendation algorithm, which currently serves behind the Recommended for You section of NYTimes.com.
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By modeling article content and reader preferences with topics, then adjusting based on reading patterns, we’ve reconceptualized our recommendation engine. Our system is now a successful, large-scale implementation of cutting-edge research in collaborative topic modeling, and it provides significant performance increases when compared with previous algorithms used to make recommendations.
Read the Complete Article (approx. 1600 words)
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