Mining Clickthrough Data To Improve Search Engine Results

Mining Clickthrough Data To Improve Search Engine Results

In this thesis, we aim at improving the search result quality by utilizing the search intelligence (history of searches) available in the form of click-through data. We address two key issues, namely 1) relevance feedback extraction and fusion, and 2) deciphering search query intentions. Relevance...

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Bibliographic Details
Main Author: Veilumuthu, Ashok
Other Authors: Ramachandran, Parthasarathy
Language:en_US
Published: 2015
Subjects:
Data Mining (Special Computer Methods)
Search Engine (Computer Science)
Information Search and Retrieval
Clickthrough Data Mining
Implicit Releveance Feedback
Rank Aggregation
Query Clustering
Intent Clustering
Search Engine Log Files
Search Engine Query Log
Search Engine Log Queries
Ranking Models
Computer Science
Online Access:http://hdl.handle.net/2005/2437
http://etd.ncsi.iisc.ernet.in/abstracts/3133/G25290-Abs.pdf

Internet

http://hdl.handle.net/2005/2437
http://etd.ncsi.iisc.ernet.in/abstracts/3133/G25290-Abs.pdf

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