Competitive advantage is perhaps the most widely used term in strategic management, yet
it remains poorly defined and operationalized. This paper makes three observations …

Data sparsity, scalability and prediction quality have been recognized as the three most crucial
challenges that every collaborative filtering algorithm or recommender system confronts. …

Since the invention of word2vec, the skip-gram model has significantly advanced the research
of network embedding, such as the recent emergence of the DeepWalk, LINE, PTE, and …

In this paper we describe a new release of a Web scale entity graph that serves as the backbone
of Microsoft Academic Service (MAS), a major production effort with a broadened scope …

The number of people with a mobility disorder caused by stroke, spinal cord injury, or other
related diseases is increasing rapidly. To improve the quality of life of these people, devices …

Large transformer models have shown extraordinary success in achieving state-of-the-art
results in many natural language processing applications. However, training and deploying …

Although Recommender Systems have been comprehensively analyzed in the past decade,
the study of social-based recommender systems just started. In this paper, aiming at …

The efficient use of natural gas will require catalysts that can activate the first C–H bond of
methane while suppressing complete dehydrogenation and avoiding overoxidation. We report …

Although considerable progress has been made in direct synthesis gas (syngas) conversion
to light olefins (C 2 = –C 4 = ) via Fischer-Tropsch synthesis (FTS), the wide product …

As an indispensable technique in the field of Information Filtering, Recommender System
has been well studied and developed both in academia and in industry recently. However, …