首页 > 语义网 > 语义网与推荐(1)乱拳打死老师傅

语义网与推荐(1)乱拳打死老师傅

我最近几天又开始神奇地漂移到一个新的题目:语义网在推荐系统(Recommendation)中的应用。没办法,吃饭需要。

首先看了维基百科Recommender system,里面说:

The Netflix Prize, …. The most accurate algorithm in 2007 used 107 different algorithmic approaches, blended into a single prediction:

Predictive accuracy is substantially improved when blending multiple predictors. Our experience is that most efforts should be concentrated in deriving substantially different approaches, rather than refining a single technique. Consequently, our solution is an ensemble of many methods.

这和沃森有异曲同工之妙,我称之为乱拳打死老师傅。就是不要试图建一个完备的模型。把一个问题拆开了,让许多不同的模型来处理,然后综合其结果。我以前做神经网络的时间序列(电力负载)预测,也是用的一群神经网络形成一个ensemble,然后加权求和。

我想,语义网在这个过程中,也是乱拳之一。到底是猴拳,醉拳还是王八拳,看了文献再说。

首先是一个经典的综述

Adomavicius, G.; Tuzhilin, A. (June 2005), “Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions”IEEE Transactions on Knowledge and Data Engineering 17 (6): 734–749

然后是几篇语义网方向的Recommendation文章,以后会陆续笔记。

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分类:语义网

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