The tremendous expansion of information available on the web voraciously bombards
users, leaving them unable to make decisions and having no way of stepping back to …

The recommender systems are recently becoming more significant in the age of rapid
development of the Internet technology due to their ability in making a decision to users on …

摘要在大数据时代, 如何充分挖掘出蕴藏于数据资源中的价值正在成为各国IT 业界,
学术界和政府共同关注的焦点. 使用云计算平台分布式地存储和分析大数据已经成为共识并且 …

Recommender systems have been regarded as gaining a more significant role with the
emergence of the first research article on collaborative filtering (CF) in the mid-1990s. CF …

For the AI community, the lasso proposed by Tibshirani is an important regression approach
in finding explanatory predictors in high dimensional data. The coordinate descent algorithm …

Affinity Propagation is a clustering algorithm used in many applications. It iteratively updates
messages between data points until convergence. The message updating process enables …

The ability to predict the activities of users is an important one for recommender systems and
analyses of social media. User activities can be represented in terms of relationships …

Response selection is a critical issue in the AI community, with important applications on the
Web. The accuracy of the selected responses, however, tends to be insufficient due to the …

Big data is the term for a collection of datasets so huge and complex that it becomes difficult
to be processed using on-hand theoretical models and technique tools. Brain big data is one …

Recent advances in the Natural Language Processing field have brought good results to a
number of interesting tasks, for instance, Linguistic Acceptability, Question Answering …