Jiafeng Guo is a researcher and doctoral supervisor at the Institute of Computing Technology, Chinese Academy of Sciences, and a professor at University of Chinese Academy of Sciences. He currently serves as the director of the Key Laboratory of Network Data Science and Technology and is the deputy director of the Information Retrieval Special Committee of the Chinese Information Processing Society of China. He is also a recipient of the National Natural Science Foundation for Outstanding Young Scholars. Guo has been engaged in research in the fields of intelligent information retrieval and big data analysis for an extended period. His research achievements have received four Best Paper awards at major international conferences in this field and two national-level scientific and technological awards. Yanyan Lan is a professor at the Institute for AI Industry Research (AIR) of Tsinghua University. She previously served as a researcher at the Institute of Computing Technology, Chinese Academy of Sciences, and a professor at University of Chinese Academy of Sciences. Her main research areas include information retrieval, machine learning, and AI for science. Lan has received the Best Student Paper Award from SIGIR and a Best Paper Nomination from CIKM. She is also selected as one of the top talents in the National Ten Thousand Talent Program, serving as the secretary-general of the Information Retrieval Special Committee of the Chinese Information Processing Society of China and an associate editor for artificial intelligence. Xueqi Cheng is the vice director of the Institute of Computing Technology, Chinese Academy of Sciences. He is a recipient of the National Distinguished Young Scientists Fund, a national high-level talent, a Beijing scholar, and a CCF fellow. Cheng holds positions as the secretary-general of the CCF Big Data Expert Committee, secretary-general of the CCF China Digital Economy 50-Person Forum, and vice chairman of the Chinese Information Processing Society of China. His long-term research focuses on network data science, big data systems, social computing, web information retrieval, and data mining. Cheng's research achievements have won six Best Paper awards at top international academic conferences in this field, and his key technologies and system achievements have received national-level scientific and technological awards four times.

• Introduction.- Deep Text Indexing.- Deep Text Retrieval.- Deep Text Matching.- Deep Relationship Ranking.- Deep Query Understanding.- Interactive Information Retrieval.- Pre-training Based IR.

Jiafeng Guo is a researcher and doctoral supervisor at the Institute of Computing Technology, Chinese Academy of Sciences, and a professor at University of Chinese Academy of Sciences. He currently serves as the director of the Key Laboratory of Network Data Science and Technology and is the deputy director of the Information Retrieval Special Committee of the Chinese Information Processing Society of China. He is also a recipient of the National Natural Science Foundation for Outstanding Young Scholars. Guo has been engaged in research in the fields of intelligent information retrieval and big data analysis for an extended period. His research achievements have received four Best Paper awards at major international conferences in this field and two national-level scientific and technological awards. Yanyan Lan is a professor at the Institute for AI Industry Research (AIR) of Tsinghua University. She previously served as a researcher at the Institute of Computing Technology, Chinese Academy of Sciences, and a professor at University of Chinese Academy of Sciences. Her main research areas include information retrieval, machine learning, and AI for science. Lan has received the Best Student Paper Award from SIGIR and a Best Paper Nomination from CIKM. She is also selected as one of the top talents in the National Ten Thousand Talent Program, serving as the secretary-general of the Information Retrieval Special Committee of the Chinese Information Processing Society of China and an associate editor for artificial intelligence. Xueqi Cheng is the vice director of the Institute of Computing Technology, Chinese Academy of Sciences. He is a recipient of the National Distinguished Young Scientists Fund, a national high-level talent, a Beijing scholar, and a CCF fellow. Cheng holds positions as the secretary-general of the CCF Big Data Expert Committee, secretary-general of the CCF China Digital Economy 50-Person Forum, and vice chairman of the Chinese Information Processing Society of China. His long-term research focuses on network data science, big data systems, social computing, web information retrieval, and data mining. Cheng's research achievements have won six Best Paper awards at top international academic conferences in this field, and his key technologies and system achievements have received national-level scientific and technological awards four times.

• Introduction.- Deep Text Indexing.- Deep Text Retrieval.- Deep Text Matching.- Deep Relationship Ranking.- Deep Query Understanding.- Interactive Information Retrieval.- Pre-training Based IR.

Jiafeng Guo is a researcher and doctoral supervisor at the Institute of Computing Technology, Chinese Academy of Sciences, and a professor at University of Chinese Academy of Sciences. He currently serves as the director of the Key Laboratory of Network Data Science and Technology and is the deputy director of the Information Retrieval Special Committee of the Chinese Information Processing Society of China. He is also a recipient of the National Natural Science Foundation for Outstanding Young Scholars. Guo has been engaged in research in the fields of intelligent information retrieval and big data analysis for an extended period. His research achievements have received four Best Paper awards at major international conferences in this field and two national-level scientific and technological awards. Yanyan Lan is a professor at the Institute for AI Industry Research (AIR) of Tsinghua University. She previously served as a researcher at the Institute of Computing Technology, Chinese Academy of Sciences, and a professor at University of Chinese Academy of Sciences. Her main research areas include information retrieval, machine learning, and AI for science. Lan has received the Best Student Paper Award from SIGIR and a Best Paper Nomination from CIKM. She is also selected as one of the top talents in the National Ten Thousand Talent Program, serving as the secretary-general of the Information Retrieval Special Committee of the Chinese Information Processing Society of China and an associate editor for artificial intelligence. Xueqi Cheng is the vice director of the Institute of Computing Technology, Chinese Academy of Sciences. He is a recipient of the National Distinguished Young Scientists Fund, a national high-level talent, a Beijing scholar, and a CCF fellow. Cheng holds positions as the secretary-general of the CCF Big Data Expert Committee, secretary-general of the CCF China Digital Economy 50-Person Forum, and vice chairman of the Chinese Information Processing Society of China. His long-term research focuses on network data science, big data systems, social computing, web information retrieval, and data mining. Cheng's research achievements have won six Best Paper awards at top international academic conferences in this field, and his key technologies and system achievements have received national-level scientific and technological awards four times.

• Introduction.- Deep Text Indexing.- Deep Text Retrieval.- Deep Text Matching.- Deep Relationship Ranking.- Deep Query Understanding.- Interactive Information Retrieval.- Pre-training Based IR.