Ranking for Web Data Search Using On-The-Fly Data Integration

Dublin Core

Title

Ranking for Web Data Search Using On-The-Fly Data Integration

Subject

Computer Science

Description

Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.

Creator

Herzig, Daniel Markus

Source

https://www.ksp.kit.edu/9783731501367

Publisher

KIT Scientific Publishing

Date

2014

Contributor

Baihaqi

Rights

Creative Commons

Format

PDF

Language

English

Type

Textbooks

Files

Citation

Herzig, Daniel Markus, “Ranking for Web Data Search Using On-The-Fly Data Integration,” Open Educational Resource (OER) - Unsyiah Library, accessed October 2, 2022, http://uilis.unsyiah.ac.id/oer/items/show/4633.

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