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Xing Xie (Chinese: 谢幸) is a partner research manager at Microsoft Research Asia. [1] [2] [3] As a computer scientist, his research has focused on data mining, social computing, and responsible AI. [4]
A recommender system (RecSys), or a recommendation system (sometimes replacing system with terms such as platform, engine, or algorithm), is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular user.
Analysts at Morgan Stanley say Microsoft (NASDAQ: MSFT) is in a "pole position" to capitalize on growing demand for generative artificial intelligence (AI)-powered applications like AI agents.
Microsoft (NASDAQ: MSFT) stock is gaining ground in Wednesday's trading following new artificial intelligence (AI) infrastructure investment news. The company's share price was up 3.9% as of 2:15 ...
In January, Microsoft launched its Quantum Ready program to help businesses better understand the technology. In December, Alphabet (NASDAQ: GOOGL) (NASDAQ: GOOG) reached an important technical ...
In practice, many commercial recommender systems are based on large datasets. As a result, the user-item matrix used for collaborative filtering could be extremely large and sparse, which brings about challenges in the performance of the recommendation. One typical problem caused by the data sparsity is the cold start problem. As collaborative ...
ACM Conference on Recommender Systems (ACM RecSys) is an A-ranked [1] peer-reviewed academic conference series about recommender systems. It is held annually in different locations, [ 2 ] and organized by different organizers, but a Steering Committee [ 3 ] supervises the organization.
When it comes to a stock's long-term returns, few have outperformed Microsoft (NASDAQ: MSFT). Since the company launched its initial public offering (IPO) in 1986, its stock has risen more than ...