Search User Interfaces: Presentation of Search Results
By Marti A. Hearst. 2009
772 citations recorded by the source corpus.
Subfields: Strategy and Management
View Paper: https://www.semanticscholar.org/paper/348a3dd39eeb1d50680b558fc09bae24e8c6a4de
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Strategy and Management
- Thomas Hofmann
- William R. Hersh
- Mark D. Smucker
- Dorothea Blostein
- Richard Zanibbi
- Christian Buck
- Benjamin Boerschinger
- Michelle Chen Huebscher
Citations in the corpus
- Example-centric programming: integrating web search into the development environment (2010, background): “Prior work on tailoring search interfaces [18, 29] has explored decision-making tasks [10, 11, 22], Web page revisi-tation tasks [3, 27], and, most relevant to our work, programming tasks [4, 19, 26].”
- Boosting Search Engines with Interactive Agents (2021, positive): “Utilizing search as a tool is intuitive, and most users quickly learn interactive search strategies characterized by sequential reasoning, exploration, and synthesis (Hearst, 2009; Rutter et al., 2015; Russell, 2019).”
- Evaluating sentence-level relevance feedback for high-recall information retrieval (2018, methodology): “162 Contemporary interactive search tools—including the tools employed for ISJ— typically display search results as document surrogates (Hearst, 2009), which consist of excerpts or summaries from which the reviewer can decide whether or not to view a document, or whether or not to mark it relevant.”
- Recognition and retrieval of mathematical expressions (2011, background): “Hearst provides guidelines for evaluating retrieval interfaces [61].”
- Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations (2016, neutral): “These considerations were informed by existing principles for visualization design [24], exploratory search [14, 43], and mixed-initiative systems [19], then refined through our experiences across multiple design iterations.”
- Exploiting query reformulations for web search result diversification (2010, background): “However, one cannot expect that the users will always be willing to tell the search engine what they mean exactly [16] and, even if they would, their underlying need might still be for multiple aspects related to the specified meaning.”
- Information Retrieval: A Biomedical and Health Perspective (2020, background): “found that journal publications of clinical trials were much less complete than in reporting adverse effects, especially serious ones, than FDA reviews of drugs [320].”