by Andrei Broder , IBM Research

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by Andrei Broder , IBM Research 1 A Taxonomy of Web Search Presented By oOnur Özbek oMirun Akyüz

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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: - PowerPoint PPT Presentation

Transcript of by Andrei Broder , IBM Research

Page 1: by  Andrei Broder , IBM Research

by Andrei Broder , IBM Research

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A Taxonomy of Web Search

Presented By

oOnur Özbek

oMirun Akyüz

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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

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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

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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

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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

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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

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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

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Statistics

User survey Random users with %10 response (3190

people) Survey questions:

Navigation/Non-navigation ->

(24.5%)

Transactional

/Information queries->

(23.8%)

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Statistics

Log Analysis Queries : transactional, navigational,

informational English queries

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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

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Conclusion

Understanding of Taxonomy

Informational and Navigational queries

Transactional queries

(semantic analyses, blending external data bases)

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A Taxonomy of Web Search

By Onur Özbek & Mirun Akyuz

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