What is she best known for?
The fields of study she is best known for:
- World Wide Web
- The Internet
- Artificial intelligence
Amanda Spink focuses on Information retrieval, Web search engine, World Wide Web, Search engine and Web query classification.
The various areas that she examines in her Information retrieval study include Transaction log, The Internet and Relevance feedback.
Her Transaction log research includes themes of Service, Information behavior, Information seeking, Human multitasking and Dialog box.
Her work carried out in the field of Web search engine brings together such families of science as Search analytics, Metasearch engine and Semantic search.
Her research investigates the connection with Search engine and areas like Information needs which intersect with concerns in Marketing.
Her work in Web query classification covers topics such as Web searching which are related to areas like Interactivity and Web mining.
Her most cited work include:
- Real life, real users, and real needs: a study and analysis of user queries on the web (1199 citations)
- Searching the Web: the public and their queries (979 citations)
- How are we searching the world wide web?: a comparison of nine search engine transaction logs (668 citations)
What are the main themes of her work throughout her whole career to date?
Amanda Spink mainly focuses on World Wide Web, Information retrieval, Web search engine, Search engine and Web search query.
Amanda Spink regularly links together related areas like Information seeking in her World Wide Web studies.
Her is doing research in Web query classification, Metasearch engine, Relevance, Human–computer information retrieval and Query expansion, both of which are found in Information retrieval.
Her Web search engine research includes elements of Multimedia, Web intelligence, Search analytics, Online search and Semantic search.
The study incorporates disciplines such as Transaction log, Session, The Internet and Identification in addition to Search engine.
Her work deals with themes such as Web standards and Web development, which intersect with Web design.
She most often published in these fields:
- World Wide Web (45.03%)
- Information retrieval (45.03%)
- Web search engine (25.83%)
What were the highlights of her more recent work (between 2007-2013)?
- World Wide Web (45.03%)
- Information retrieval (45.03%)
- Web search engine (25.83%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include World Wide Web, Information retrieval, Web search engine, Web search query and Web query classification.
Her work in Web modeling, Web page, Web design, Web development and Online search are all subfields of World Wide Web research.
Her work on Data mining expands to the thematically related Information retrieval.
Her Web search engine research incorporates themes from Transactional leadership, Web crawler and Semantic search.
Her research links Multimedia with Web search query.
Her Web query classification study combines topics from a wide range of disciplines, such as Query expansion and Web searching.
Between 2007 and 2013, her most popular works were:
- Determining the informational, navigational, and transactional intent of Web queries (383 citations)
- Web Search: Public Searching of the Web (236 citations)
- Determining the informational, navigational and transactional intent of web queries (175 citations)
In her most recent research, the most cited papers focused on:
- World Wide Web
- The Internet
- Artificial intelligence
Her primary scientific interests are in World Wide Web, Web search engine, Information retrieval, Web query classification and Web modeling.
The study of World Wide Web is intertwined with the study of Relevance in a number of ways.
Amanda Spink combines subjects such as Transactional leadership, Variety and Semantic search with her study of Web search engine.
Her study with Semantic search involves better knowledge in Search engine.
Her study in Information retrieval is interdisciplinary in nature, drawing from both Online advertising and Digital marketing.
Her study explores the link between Web query classification and topics such as Web searching that cross with problems in State and Query expansion.
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