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Advanced Strategies for Searching Textual Documents and Multimedia: Enhancing User Experience

eileen avatar
15 diapositives · 284 Views · Aug 25, 2014

This course delves into advanced methods of information search and retrieval, focusing on textual documents and multimedia content. Learn about techniques for effective database querying, including SQL and natural language queries, as well as advanced filtering methods for improved search interfaces. Explore the complexities of information gathering, collaborative filtering, and visual analytics, aimed at enhancing the User Experience in search activities. Understand how to formulate queries, initiate searches, and refine results effectively through an interactive framework.

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  1. Information Search Session 12 Course : T0593/ Human Computer Interaction Year : 2012

  2. Outline Searching in Textual Documents and Database Querying Multimedia Document Searching Advanced Filtering and Search Interfaces 3

  3. Information Search • Information search should be a joyous experience, but it takes a skilled searcher with robust tools to perform an effective search • Information retrieval and database management have evolved into: • information gathering, seeking, filtering, collaborative filtering, sense-making, and visual analytics. • data mining from data warehouses and data marts • knowledge networks or semantic webs • All the above is complicated by the increased volume of material to search

  4. Search terminology • Task actions are decomposed into browsing or searching • Here are some examples of task actions: • Specific fact finding (known-item search) • Find the e-mail address of the President of the United States. • Extended fact finding • What other books are by the author of “Jurassic Park”? • Exploration of availability • Is there new work on voice recognition in the ACM digital library? • Open-ended browsing and problem analysis • Is there promising new research on fibromyalgia that might help my patient?

  5. Searching in Textual Documentsand Database Querying • Expert users can use SQL: SELECT DOCUMENT# FROM JOURNAL-DB WHERE (DATE >= 2004 AND DATE <= 2008) AND (LANGUAGE = ENGLISH OR FRENCH) AND (PUBLISHER = ASIST OR HFES OR ACM) • SQL has powerful features, but it requires training • While SQL is a standard, form fill-in queries have simplified query formulation

  6. Searching in Textual Documentsand Database Querying (cont.) • Other methods include: • Natural language queries • Form fill-in • Query by example (QBE) • Evidence shows that users perform better and have higher satisfaction when they can view and control the search

  7. Searching in Textual Documentsand Database Querying (cont.)

  8. Five-phase framework to clarify user interfaces for textual search • Formulation: expressing the search • Initiation of action: launching the search • Review of results: reading messages and outcomes • Refinement: formulating the next step • Use: compiling or disseminating insight

  9. Searching in Textual Documentsand Database Querying (cont.) As users press keys on the keypad (left figure), the digits are shown and a search is implicitly initiated to display the list of names in the address book that match the series of keys pressed. On the right figure, red wedges at the edge of the screen hint at the locations of off-screen results on a map (Gustafson)

  10. Multimedia Document Searches • Image search • Map search • Design or diagram search • Sound search • Video search • Animation search

  11. Multimedia Document Searches (cont.)

  12. Advanced Filtering and Search Interfaces • Filtering with complex Boolean queries • Automatic filtering • Dynamic queries • Faceted metadata search • Query by example • Implicit search • Collaborative filtering • Multilingual searches • Visual field specification

  13. Supporting Materials • http://people.ischool.berkeley.edu/~hearst/irbook/10/node9.html • http://www.cs.umd.edu/projects/hcil/members/bshneiderman/ijhcs/main.html

  14. Q & A