social engine requirements

Exploring the path of social search-Xunlei Debut: Social search weekly Author: Ma Guoliang Ailog said that thunder is a successful social and social search model. However, every time I talked to my friends about the advantages of the thunder model,

About the Social Forum there is no follow-up development power, I want to be discussed in 2012, at that time light-years forum, the end of the end of the forum has caused many webmaster friends of the fierce response, in fact, to think of those

Original address: http://www.ibm.com/developerworks/cn/web/1103_zhaoct_recommstudy1/index.htmlThe "Discover the secrets of the recommendation Engine" series will lead readers from shallow to deep learning to explore the mechanisms of the

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Abstract: This article aims to analyze how to build large scale distributed systems in the cloud from a technical perspective through the growth of a social app, including scalability of the platform, expansion of the network level, and expansion of

The "Discover the secrets of the recommendation Engine" series will lead readers from shallow to deep learning to explore the mechanisms of the recommendation engine, which also involves some basic optimization methods, such as clustering and

First, competitor analysis Analyze and study the link strategy and content layout of competitor website, help to find out the strong and weak link of competitor website, can not only see the gap between the two sides, find out the breach of the

Part 2nd: In-depth recommendation of engine-related algorithms-collaborative filteringThe first article in this series provides an overview of the recommendation engine, and the following articles provide an in-depth introduction to the recommended

Document directory Most network applications are trying to match the information where it is needed. Fragment network example Case Analysis Search in a single space Looking forward to a more interactive world How does it know?

Efficient collaborative filtering recommendations based on Apache MahoutApache Mahout is an open-source project under the Apache Software Foundation (ASF) that provides a number of extensible machine learning domain Classic algorithms designed to