کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4946049 1439266 2017 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
InBeat: JavaScript recommender system supporting sensor input and linked data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
InBeat: JavaScript recommender system supporting sensor input and linked data
چکیده انگلیسی
Interest Beat (inbeat.eu) is an open source recommender framework that fulfills some of the demands raised by emerging applications that infer ratings from sensor input or use linked open data cloud for feature expansion. As a recommender algorithm, InBeat uses association rules, which allow to explain why a specific recommendation was made. Due to modular architecture, other algorithms can be easily plugged in. InBeat has a pure JavaScript version, which allows to confine processing to a client-side device. There is a performance optimized server-side bundle, which succesfully participated in two recent recommender competitions involving large volumes of streaming data. InBeat works on a number of platforms and is also available for Docker.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 135, 1 November 2017, Pages 40-43
نویسندگان
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