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 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

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

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

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.

Traditional IR and HCIR?

Traditional IR Static queries Mainly text Human dependent classification and static searches classification, indexing and abstracting is needed Result set is abstract or full text documents Fully query formed once HCIR Dynamic queries Beyond text content Interaction dependent and automatic retrieval Static indexes become irrelevant Support exploratory search Result set varies. Support interactive query formulation

World with HCIR…

Evaluation methods Beyond Recall and Precision Newer evaluation metrics like 1. Utility 2. Search engine Satisfaction (SES) 3. User Experience (UX) 4. Relative Relevance (RR) 5. Ranked Half Life (RHL) 6. Etc..

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

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.