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by Andrei Broder , IBM Research

1. Presented By Onur Özbek Mirun Akyüz. A Taxonomy of Web Search. by Andrei Broder , IBM Research. Introduction. Informational queries: “the perceived need for information that leads to someone using an information retrieval system in the first place” Other types of queries:

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by Andrei Broder , IBM Research

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  1. 1 Presented By • Onur Özbek • Mirun Akyüz A Taxonomy of Web Search by Andrei Broder , IBM Research

  2. Introduction Informational queries: “the perceived need for information that leads to someone using an information retrieval system in the first place” Other types of queries: Navigational Transactional A taxonomy of web searches 2

  3. The Classic Model 3 • User has a task • Verbalizes information need • Verbal form is ransformed into a query • Search engine returns a selection from the corpus based on the query Fig. 1: The classic model for IR, augmented for the web.

  4. A Taxonomoy of Web Searches 3 classes of web queries: Navigational Reach a particular URL Informational Find information Transactional Perform a web-based activity No certain way to infer intent from a query 4

  5. A Taxonomoy of Web Searches Navigational queries: Web site previously-visited or assumed to exist eg. türk hava yolları http://www.turkishairlines.com Also known as “known item” search Usually one right result eg.sony http://www.sony.com (Sony USA) http://www.sony.co.uk (Sony UK) http://www.sony.net (Sony Global) Hub results less preferrable 5

  6. A Taxonomoy of Web Searches Informational queries: Information available in a static form Reading as the only further user interaction: Classic IR Can be extremely wide: eg.cars Or narrow: eg.Volkswagen Beetle For 15% of searches, a hub target desired 6

  7. A Taxonomoy of Web Searches Transactional queries: Further interaction with the websites in results: Shopping Web-mediated services File download (images, songs, videos, etc.) Access to a certain DB (eg. Yellow Pages) Difficult to evaluate Possibly limited by binary judgement External factors (eg. price) not available to the search engine 7

  8. Statistics 8 • User survey • Random users with %10 response (3190 people) • Survey questions: Navigation/Non-navigation -> (24.5%) Transactional /Information queries-> (23.8%)

  9. Statistics 9 • Log Analysis • Queries : transactional, navigational, informational • English queries

  10. Evolution of Search Engines 10 • First generation: (Informational) • on-page data (text and formatting) • Second generation:(informational & navigational) • off-page, web-specific data: • link analysis, anchor-text, click-through data • Third generation: (informational, navigational, transactional) • blend data from multiple sources : • Query: “San Francisco” -> semantic analysis, context determination, dynamic data base selection

  11. Conclusion 11 • Understanding of Taxonomy • Informational and Navigational queries • Transactional queries (semantic analyses, blending external data bases)

  12. A Taxonomy of Web Search 12 By Onur Özbek & Mirun Akyuz

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