When I heard about the Netflix Prize, I have to admit that I couldn't resist joining. The stated goal of this contest is to help Netflix improve their movie recommendation system. The team that can beat Netflix's own home-grown collaborative filtering system by 10% will win a million dollars. Like many others, I have doubts as to whether this feat is possible given the sparsity of data and inheren
Pandora and Last.fm: Nature vs. Nurture in Music Recommenders Over the past week, there has been some blog talk (Fred Wilson, TechCrunch, David Porter) comparing music-recommendation services Pandora and Last.fm. I’ve been using both for the past couple months, making notes along the way. The idea was that I’d eventually have something to say. That might as well be now. Both services allow you to
Datawocky On Teasing Patterns from Data, with Applications to Search, Social Media, and Advertising I teach a class on Data Mining at Stanford. Students in my class are expected to do a project that does some non-trivial data mining. Many students opted to try their hand at the Netflix Challenge: to design a movie recommendations algorithm that does better than the one developed by Netflix. Here's
Illustration: Jason Munn At first, it seemed some geeked-out supercoder was going to make an easy million. In October 2006, Netflix announced it would give a cool seven figures to whoever created a movie-recommending algorithm 10 percent better than its own. Within two weeks, the DVD rental company had received 169 submissions, including three that were […] * Illustration: Jason Munn * At first, i
Fortnite Chapter 5 Season 2 is upon us, and alongside a brand-new Battle Pass and new bosses to battle we also have a plethora of new Weekly Quests to contend with. Now you know we love a Fortnite leaker here on ReadWriteGaming so we appreciate iFireMonkey’s efforts in leaking all the Weekly Quests for the…
Feb. 16, 2024: The Grants page including registration and travel grants has been published! It currently includes info about “Discounted registration rates” for attendees registering from economically developing countries, “Gary Marsden Travel Awards”, and “ACM-W Computer Science Research Conference Scholarships”. The page will be constantly updated with new initiatives.
THE “NAPOLEON DYNAMITE” problem is driving Len Bertoni crazy. Bertoni is a 51-year-old “semiretired” computer scientist who lives an hour outside Pittsburgh. In the spring of 2007, his sister-in-law e-mailed him an intriguing bit of news: Netflix, the Web-based DVD-rental company, was holding a contest to try to improve Cinematch, its “recommendation engine.” The prize: $1 million. Cinematch is th
maintained by Jun Wang Generally, collaborative filtering (CF) is any algorithm that filters information for a user based on a collection of user profiles. Users having similar profiles may share similar interests. For a user, information can be filtered in/out regarding to the behaviors of his or her similar users. Users profiles can be collected either explicitly or implicitly. One can explicitl
ACM Transactions on Information Systems. Volume 22, Issue 1, pp. 143 - 177, 2004 Abstract The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems - a personalized information filtering technology used to identify a set of N items that will be of interest to a certain user. User-based collaborative filtering is the most successful
SUGGEST is a Top-N recommendation engine that implements a variety of recommendation algorithms. Top-N recommender systems, a personalized information filtering technology, are used to identify a set of N items that will be of interest to a certain user. In recent years, top-N recommender systems have been used in a number of different applications such to recommend products a customer will most l
There’s no mistaking that Elden Ring is one of those games that will go down as one of the all time greats. The beautiful vistas, incredibly designed world, and mechanic-rich boss battles come together to create a jaw-dropping experience. Shadow of the Erdtree, Elden Ring’s only announced DLC, is primed and ready to enhance the…
Apple could be set to introduce a touchscreen for the iMac, in what would be a reversal of a long-standing policy. A report indicated an updated patent application has been lodged, revealing an iMac design complete with a pivot stand. An iMac like this would become more portable and easier to use if you need…
Ruixuan Sun, Ruoyan Kong, Qiao Jin, and Joseph Konstan. 2023. Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems. In Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’23 Adjunct), 291–295. https://doi.org/10.1145/3563359.3597390 view details Ruixuan Sun, Ruoyan Kong, Qiao Jin, and Joseph Kon
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