Spatial Keyword Query Processing and Algorithms Publication Trend The graph below shows the total number of publications each year in Spatial Keyword Query Processing and Algorithms.

Efficient query processing is underpinned by the design and implementation of novel data structures and algorithms that address the increasing demands of modern data-intensive applications.

Natural language processing algorithms like the ones used in Google searches and OpenAI’s ChatGPT promise to slash the time required to bring medications to market ...

This year, Shiyuan Co., Ltd. has newly obtained 290 patent authorizations, a decrease of 40.57% compared to the same period last year. According to the company's mid-2025 financial data, in the first ...

the development of an innovative hybrid algorithm that combines the advantages of classical and quantum computing to optimize Multi-Query Optimization (MQO) problems.

Taken in totality, Google’s recent announcements on its expanding use of natural language understanding algorithms represent a major evolution in how it determines what content gets surfaced in ...

The Multi-Query Optimization (MQO) problem is a class of data-intensive problems that are NP-hard, and it has applications in many fields such as database query optimization, machine learning ...

Move over, Google search algorithm hand-crafted by hard-working Google engineers. RankBrain has moved in, a machine-learning artificial intelligence that Google’s been using to process a “very ...

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.