EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems
نویسندگان
چکیده
We present EasyRec, an easy-to-use, extendable and efficient recommendation framework for building industrial systems. Our EasyRec is superior in the following aspects:first, adopts a modular pluggable design pattern to reduce efforts build custom models; second, implements hyper-parameter optimization feature selection algorithms improve model performance automatically; third, applies online learning adapt ever-changing data distribution. The code released: https://github.com/alibaba/EasyRec.
منابع مشابه
Building a Comprehensive Conceptual Framework for Power Systems Resilience Metrics
Recently, the frequency and severity of natural and man-made disasters (extreme events), which have a high-impact low-frequency (HILF) property, are increased. These disasters can lead to extensive outages, damages, and costs in electric power systems. A power system must be built with “resilience” against disasters, which means its ability to withstand disasters efficiently while ensuring the ...
متن کاملA Hybrid Framework for Building an Efficient Incremental Intrusion Detection System
In this paper, a boosting-based incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. We use boosting ensemble of weak classifiers to implement misuse intrusion detection system. It can identify new classes types of intrusions that do not exist in the training dataset for incremental misuse detection. As...
متن کاملAn Extendable Application Framework for
This paper introduces an extendable cross-platform software framework Julius for medical visualization and surgical planning, consisting of two conceptual layers: the Julius Software Development Kit (JSDK) and the Julius Graphical User Interface (JGUI). The JSDK can be used stand-alone to speed up development of research tools. While the JGUI acts like a frontend for the JSDK and offers easy ha...
متن کاملAn Easy-to-use Scalable Framework for Parallel Recursive Backtracking
Supercomputers are equipped with an increasingly large number of cores to use computational power as a way of solving problems that are otherwise intractable. Unfortunately, getting serial algorithms to run in parallel to take advantage of these computational resources remains a challenge for several application domains. Many parallel algorithms can scale to only hundreds of cores. The limiting...
متن کاملAn Easy-to-Use Toolkit for Efficient Java Bytecode Translators
This paper presents our toolkit for developing a Java-bytecode translator. Bytecode translation is getting important in various domains such as generative programming and aspect-oriented programming. To help the users easily develop a translator, the design of our toolkit is based on the reflective architecture. However, the previous implementations of this architecture involved serious runtime...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2023
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v37i13.27065