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Human Computer Information Retrieval HCIR

Human Computer Information Retrieval HCIR . WHIM- Spring ‘10 By:- Enza Desai. What is HCIR?. Study of IR techniques that brings human intelligence into search process. Coined by Gary Marchionini . Combines various aspects of IR and HCI

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Human Computer Information Retrieval HCIR

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  1. Human Computer Information RetrievalHCIR WHIM- Spring ‘10 By:-Enza Desai

  2. What is HCIR? • Study of IR techniques that brings human intelligence into search process. • Coined by Gary Marchionini. • Combines various aspects of IR and HCI • Syminforosis-people as organic information processors continuously engaged with information in emerging cyberinfrastructure • Actions and interactions with information: how people find and use information when mediated by technology

  3. Why its needed? • Content is changing from plain text to multimedia, multilingual, recommendations, temporal (blogs, wikis) and conditional–which are also dynamic • Cannot match queries to static indexes • Relationship between content • Content has history thus need context retrieval

  4. Continued.. • People base is also changing • Understanding over retrieval • Need ways to bring human intelligence and attention into the search process. • Supports Exploratory searches.

  5. Goals of HCIR • Get people closer to the information they need • Increase user responsibility & control • Flexible architectures • Systems be part of information cycle • Support the entire information life cycle • Support tuning by end users • Engaging and fun to use.

  6. Traditional IR and HCIR?

  7. World with HCIR…

  8. Evaluation methods • Beyond Recall and Precision • Newer evaluation metrics like • Utility • Search engine Satisfaction (SES) • User Experience (UX) • Relative Relevance (RR) • Ranked Half Life (RHL) • Etc..

  9. Some implementation • Faceted search: navigate information hierarchically, going from a category to its sub-categories • Spelling suggestions and automatic query reformulation in search engines. • Interactive User Interaction and Visual representation of data • Relevance feedback

  10. Conclusion • Search has been limited to a single text box. • Traditional IR doesn’t address hard search problems. • Use human intelligence to lead the user to relevant results • Minimizes costs of time, mouse clicks, or context shift. • Faceted search is a common approach to addressing search problems.

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