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Faceted Search

Faceted Search. Zhao Jing 2009-02-28. Outline. What is faceted search? Why use faceted search? Topics of interests Faceted Search in Dataspace. Outline. What is faceted search? Why use faceted search? Topics of interests Faceted Search in Dataspace. Facet.

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Faceted Search

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  1. Faceted Search Zhao Jing 2009-02-28

  2. Outline • What is faceted search? • Why use faceted search? • Topics of interests • Faceted Search in Dataspace

  3. Outline • What is faceted search? • Why use faceted search? • Topics of interests • Faceted Search in Dataspace

  4. Facet • Any of the surfaces of a cut gemstone. • “A clearly defined, mutually exclusive, and collectively exhaustive aspects, properties or characteristics of a class or specific subject" Maple, A. (1995) Faceted Access: A Review of the Literature

  5. Examples of Facets • FacetedDBLP • Publication years • Publication types • Venues • Authors • Topics ( GrowBag graphs for keyword)

  6. Faceted search • Faceted search, also called faceted navigation or faceted browsing, is a technique for accessing a collection of information represented using a faceted classification, allowing users to explore by filtering available information. (Wikipedia)

  7. Outline • What is faceted search? • Why use faceted search? • Topics of interests • Faceted Search in Dataspace

  8. Web Search VS. Site Search（1） • Web search is OK • Most successful at directing users to appropriate web site • Survey finds high user satisfaction Study by npd group http://www.searchenginewatch.com/reports/npd.html NPD

  9. Web Search VS. Site Search（2） • Notorious site search • A Study by Vividence Research • Spring 2001, 69 web sites • 70% eCommerce • 31% Service • 21% Content • 2% Community • The most common problems: 53% had poorly organized search results 32% had poor information architecture 32% had slow performance 27% had cluttered home pages 25% had confusing labels 15% invasive registration 13% inconsistent navigation

  10. Why? • Seek an information resource based on a variety of characteristics • A single hierarchical structure approach • Hard to develop • Bias access

  11. Navigational search Direct search COMBINED Faceted search

  12. Differences • Navigational search VS. Faceted search • Direct search VS. Faceted search • Clustering VS. Faceted categories • Tag VS. Facet

  13. Navigational search VS. Faceted search Education > Higher Education > Colleges and Universities > Stanford University

  14. Navigational search VS. Faceted search Region Education Colleges and Universities Education Region STANFORD UNIVERSITY Region Colleges and Universities

  15. Direct search VS. Faceted search • Keyword search: Allows users to enter any number of words and shows the results as a list of titles in a certain order.

  16. Direct search VS. Faceted search • Keyword search: Allows users to enter any number of words and shows the results as a list of titles in a certain order. • Advanced search: Exposes much of metadata to user in the form of checkboxes and drop-down lists. All facet selections are ANDed together.

  17. Direct search VS. Faceted search • Faceted search: A successful complement to keyword searching. • Organize the structure of results. • Show previews of where to go next. • Seamlessly integrating free text search within the category structure. • Avoid empty results sets.

  18. Clustering VS. Faceted categories • Clustering refers to the grouping of items according to some measure of similarity. • Advantages: • Fully automatable. • Can be easily applied to any text collection. • Reveal new trends in a group of documents. Marti A. Hearst, Clustering versus faceted categories for information exploration . SPECIAL ISSUE: Supporting exploratory search 2006

  19. Clustering VS. Faceted categories • Reveal new trends in a group of documents. Query: New Orleans March, 2005 Sep. 16, 2005 • Hotels • Photos • Restaurants, Cuisine • Mardi Gras • Events • Tours • New Orleans area • …… • Hurricane • Hotels • Photos • Restaurants • Tours • New Orleans area • …… Marti A. Hearst, Clustering versus faceted categories for information exploration . SPECIAL ISSUE: Supporting exploratory search 2006

  20. Clustering VS. Faceted categories • Clustering refers to the grouping of items according to some measure of similarity. • Advantages: • Fully automatable. • Can be easily applied to any text collection. • Reveal new trends in a group of documents. • Disadvantages: • Presentation is hardly ideal • Different levels of granularity Marti A. Hearst, Clustering versus faceted categories for information exploration . SPECIAL ISSUE: Supporting exploratory search 2006

  21. Clustering VS. Faceted categories

  22. Clustering VS. Faceted categories • Drawback: • Category hierarchies are built by hand. Marti A. Hearst, Clustering versus faceted categories for information exploration . SPECIAL ISSUE: Supporting exploratory search 2006

  23. Tag VS. Facet

  24. Outline • What is faceted search? • Why use faceted search? • Topics of interests • Faceted Search in Dataspace

  25. Topics of interests • Facet construction • User interface • Dynamic faceted search • ……

  26. Facet construction • Mark Sanderson, Bruce Croft, Deriving concept hierarchies from text. SIGIR , pages: 206 – 213, 1999,   • Wisam Dakka, Panagiotis G. Ipeirotis, Kenneth R. Wood, Automatic construction of multifaceted browsing interfaces. CIKM, pages: 768 – 775, 2005. • Wisam Dakka, Rishabh Dayal, Panagiotis G. Ipeirotis, Automatic discovery of useful facet terms. SIGIR06 • Wisam Dakka, Panagiotis G. Ipeirotis, Automatic extraction of useful facet hierarchies from text databases. ICDE, pages: 466-475,2008.

  27. User Interface • Holger bast, Ingmar Weber, When You’re Lost for Words: Faceted Search with Autocompletion. SIGIR’06 Workshop on Faceted Search • Type less, find more: Fast autocompletion search with a succinct index. SIGIR’06 • Marti A. Hearst, UIs for Faceted Navigation Recent Advances and Remaining Open Problems. HCIR2008 • G. Smith, M. Czerwinski, B. Meyers, D. Robbins, G. Robertson, and D. Tan. FacetMap: A Scalable Search and Browse Visualization. IEEE Trans. Vis. Comput. Graph., pages 797–804, 2006. • A. Karlson, G. Robertson, D. Robbins, M. Czerwinski,and G. Smith. FaThumb: a facet-based interface for mobile search. SIGCHI, pages 711–720,2006. • Raimund Dachselt, Mathias Frisch, Markus Weiland, FacetZoom: a continuous multi-scale widget for navigating hierarchical metadata. SIGCHI, pages 1353-1356, 2008.  

  28. User Interface • Holger base Ingmar Weber, When You’re Lost for Words: Faceted Search with Autocompletion. SIGIR’06 Workshop on Faceted Search • Type less, find more: Fast autocompletion search with a succinct index. SIGIR’06 • Marti A. Hearst, UIs for Faceted Navigation Recent Advances and Remaining Open Problems. HCIR2008 • G. Smith, M. Czerwinski, B. Meyers, D. Robbins, G. Robertson, and D. Tan. FacetMap: A Scalable Search and Browse Visualization. IEEE Trans. Vis. Comput. Graph., pages 797–804, 2006. • A. Karlson, G. Robertson, D. Robbins, M. Czerwinski,and G. Smith. FaThumb: a facet-based interface for mobile search. SIGCHI, pages 711–720,2006. • Raimund Dachselt, Mathias Frisch, Markus Weiland, FacetZoom: a continuous multi-scale widget for navigating hierarchical metadata. SIGCHI, pages 1353-1356, 2008.  

  29. Recent advances • Group related facets together. • Auto-suggest search within facets. • Keyword search terms affecting facet label ordering.

  30. Group related facets together UIs for Faceted Navigation Recent Advances and Remaining Open Problems. Marti A. Hearst, HCIR2008

  31. Auto-suggest search within facets • Auto-suggest -- help user finish formulating their query. • Provide separate autocomplete entry forms for each facet. When You’re Lost for Words: Faceted Search with Autocompletion. Holger base Ingmar Weber, SIGIR’06 Workshop on Faceted Search

  32. Keywords affecting facet label ordering • Use the items typed in to change the order of labels shown within facets. UIs for Faceted Navigation Recent Advances and Remaining Open Problems. Marti A. Hearst, HCIR2008

  33. Yelp VS. Flamenco • Standard faceted navigation: • Items determine which facet labels are shown. • Return: • Contain that word. • Assigned that label. • Aggregation of facet labels that are assigned to those retrieved items. UIs for Faceted Navigation Recent Advances and Remaining Open Problems. Marti A. Hearst, HCIR2008

  34. Open problems • Facets on mobile interfaces • Visualizations of faceted navigation • ……

  35. Dynamic faceted search • Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia Ailamaki, Guy Lohman, Dynamic Faceted Search for Discovery-driven Analysis. CIKM, Pages 3-12, 2008. • Senjuti Basu Roy, Haidong Wang, Gautam Das, Ullas Nambiar , Mukesh Mohania, Minimum-Effort Driven Dynamic Faceted Search in Structured Databases. CIKM, Pages 13-22, 2008.

  36. Outline • What is faceted search? • Why use faceted search? • Topics of interests • Faceted Search in Dataspace

  37. Faceted Search in Dataspace • Faceted browsing • Task • Type • E-mail、Image、doc 、PPT …… • Size • Time • UI

  38. Faceted search Zhao Jing Thanks! Q & A

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