Induction-Based Approach to Personalized Search Engines | Introducing The Search Engines Ranking Efficiency Evaluation Tool [SEREET]

Wadee Halabi

ISBN 10: 3639109449 / ISBN 13: 9783639109443

Published by VDM Verlag Dr. Müller, 2013

About this Item

Induction-Based Approach to Personalized Search Engines | Introducing The Search Engines Ranking Efficiency Evaluation Tool [SEREET] | Wadee Halabi | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783639109443 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: Induction-Based Approach to Personalized Search Engines | Introducing The Search Engines Ranking Efficiency Evaluation Tool [SEREET]
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2013
• Language: English
• ISBN 10: 3639109449
• ISBN 13: 9783639109443
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 128 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

In a document retrieval system where data is stored and compared with a specific query and then compared with other documents, we need to find the document that is most similar to the query. The most similar document will have the weight higher than other documents. When more than one document are proposed to the user, these documents have to be sorted according to their weights. Once the result is presented to the user by a recommender system, the user may check any document of interest. If there are two different documents' lists, as two proposed results presented by different recommender systems, then, there is a need to find which list is more efficient. To do so, the measuring tool "Search Engine Ranking Efficiency Evaluation Tool [SEREET]" came to existence. This tool assesses the efficiency of each documents list and assigns a numerical value to the list. The value will be closer to 100% if the ranking list efficiency is high which means more relevance documents exist in the list and documents are sorted according to their relevance to the user.