The scientist’s investigation covers issues in World Wide Web, Information retrieval, Content, Search engine and Web search query. Ying Li usually deals with World Wide Web and limits it to topics linked to Advertising and Multimedia. His Information retrieval study combines topics from a wide range of disciplines, such as Classifier, Web site, Directory and Confidence value.
His Search engine study incorporates themes from Similarity, Web page, Service and Natural language processing. His research integrates issues of Commit and Focus in his study of Web page. His Web search query research is multidisciplinary, relying on both Query language and Query expansion.
World Wide Web, Data mining, Information retrieval, Advertising and Web page are his primary areas of study. His World Wide Web research is multidisciplinary, incorporating elements of Service, Bidding, Feature and Component. His Data mining research integrates issues from Many to one, One-to-many and Tracing.
His work carried out in the field of Information retrieval brings together such families of science as Artificial intelligence and Natural language processing. His Advertising study integrates concerns from other disciplines, such as Online advertising and Multimedia. Ying Li works mostly in the field of Web page, limiting it down to topics relating to Search engine and, in certain cases, Database, as a part of the same area of interest.
His scientific interests lie mostly in Data mining, Memoization, Function, Operating system and Tracing. His Data mining research includes elements of Social network, Display advertising, The Internet, End user and Business model. Ying Li combines subjects such as Feedback loop, Throughput and Embedded system with his study of Operating system.
His study in Tracing is interdisciplinary in nature, drawing from both One-to-many and Many to one. The concepts of his Executable study are interwoven with issues in Data store and Process. His work deals with themes such as Workload, Metadata, Source code and Systems modeling, which intersect with Memory management.
His main research concerns Operating system, Memory management, Distributed computing, Set and Boundary. His work in the fields of Operating system, such as Component-based software engineering, overlaps with other areas such as Performance model. His Memory management research integrates issues from Process, Metadata, Executable, Systems modeling and Workload.
He performs integrative Distributed computing and Management system research in his work.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Verifying relevance between keywords and web site contents
Zheng Chen;Li Li;Ying Li;Tarek Najm.
Systems and methods for estimating placement positions of content items on a rendered page
David Chickering;Christopher Meek;David Heckerman;Brian Burdick.
System and method for automatic generation of search results based on local intention
Lee Wang;Ying Li.
Searching based on messages
Kristin D. Bromm;Denise D. Hui;Joshua T. Goodman;Omar H. Shahine.
Visualization application for mining of social networks
Heng Zhang;Benyu Zhang;Teresa Mah;Dong Zhuang.
System and method for utilizing the content of an online conversation to select advertising content and/or other relevant information for display
Li In;Li Li;Nadzhm Tarek;Van Sjan Fan.
Reinforced clustering of multi-type data objects for search term suggestion
Hua-Jun Zeng;Benyu Zhang;Zheng Chen;Wei-Ying Ma.
Detecting online commercial intention (OCI)
Honghua (Kathy) Dai;Lingzhi Zhao;Zaiqing Nie;Ji-Rong Wen.
the web conference (2006)
Automatically generating content for presenting in a preview pane for ads
Jody David Biggs;Christian Herwarth Borgs;Jennifer Tour Chayes;Uriel M. Feige.
System and method for utilizing the content of audio/video files to select advertising content for display
Ying Li;Li Li;Tarek Najm;Hongbin Gao.
Profile was last updated on December 6th, 2021.
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