Recommender systems are one of the most successful applications of data mining and
machine-learning technology in practice. Academic research in the field is historically often …

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 …

People are increasingly turning to large language models (LLMs) for complex information
tasks like academic research or planning a move to another city. However, while they often …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

With the rapid development of information technologies, various big graphs are prevalent in
many real applications (eg, social media and knowledge bases). An important component of …

With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

Users may strive to formulate an adequate textual query for their information need. Search
engines assist the users by presenting query suggestions. To preserve the original search …

Extant research has focused on the detection of fake reviews on online review platforms,
motivated by the well-documented impact of customer reviews on the users' purchase …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …