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

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Presentation transcript:

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

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

3 The Classic Model Fig. 1: The classic model for IR, augmented for the web.  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

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

5 A Taxonomoy of Web Searches  Navigational queries:  Web site previously-visited or assumed to exist eg. türk hava yolları  Also known as “known item” search  Usually one right result eg. sony USA) UK) Global)  Hub results less preferrable

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

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

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

Statistics  Log Analysis  Queries : transactional, navigational, informational  English queries 9

Evolution of Search Engines  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 10

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

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