What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Statistics
The scientist’s investigation covers issues in Discrete mathematics, Information retrieval, World Wide Web, Combinatorics and Search engine.
His research in Discrete mathematics intersects with topics in Load balancing and Computing the permanent.
His Information retrieval study incorporates themes from Sketch, Similarity and Database.
His The Internet, Webgraph and Web crawler study in the realm of World Wide Web interacts with subjects such as Popularity.
His Search engine research includes themes of Computer program and Computer data storage.
His Web search query research includes elements of Query expansion and Data mining, Query optimization.
His most cited work include:
- Graph structure in the Web (2491 citations)
- Network Applications of Bloom Filters: A Survey (1753 citations)
- A taxonomy of web search (1724 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Information retrieval, World Wide Web, Web page, Web search query and Combinatorics.
His biological study spans a wide range of topics, including Online advertising and Contextual advertising.
In most of his World Wide Web studies, his work intersects topics such as Advertising.
His work on Static web page, Hyperlink, Backlink and Site map is typically connected to Variety as part of general Web page study, connecting several disciplines of science.
Andrei Z. Broder combines subjects such as Query language, Data mining and Semantic search with his study of Web search query.
Combinatorics and Discrete mathematics are commonly linked in his work.
He most often published in these fields:
- Information retrieval (37.70%)
- World Wide Web (27.05%)
- Web page (17.21%)
What were the highlights of his more recent work (between 2007-2020)?
- Information retrieval (37.70%)
- World Wide Web (27.05%)
- Web search query (13.93%)
In recent papers he was focusing on the following fields of study:
Information retrieval, World Wide Web, Web search query, Web query classification and Online advertising are his primary areas of study.
His Information retrieval study combines topics from a wide range of disciplines, such as Web page, Data mining and Contextual advertising.
His study in World Wide Web focuses on Targeted advertising in particular.
His studies deal with areas such as Query language, Phrase and Action as well as Web search query.
His research on Web query classification also deals with topics like
- Artificial intelligence, which have a strong connection to Natural language processing and Machine learning,
- Web search engine which connect with Web modeling and Web crawler.
In general Online advertising study, his work on Search advertising often relates to the realm of Process, thereby connecting several areas of interest.
Between 2007 and 2020, his most popular works were:
- Anatomy of the long tail: ordinary people with extraordinary tastes (137 citations)
- Optimizing relevance and revenue in ad search: a query substitution approach (106 citations)
- Search advertising using web relevance feedback (105 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- World Wide Web
His main research concerns Information retrieval, World Wide Web, Online advertising, Web query classification and Web page.
Andrei Z. Broder has included themes like Cache, Data mining and Search advertising in his Information retrieval study.
His CAPTCHA study in the realm of World Wide Web interacts with subjects such as Personally identifiable information.
His Online advertising research is multidisciplinary, relying on both Landing page, Relevance and Search engine.
His study with Web query classification involves better knowledge in Web search query.
Within one scientific family, Andrei Z. Broder focuses on topics pertaining to Query expansion under Web search query, and may sometimes address concerns connected to Sargable and Query optimization.
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