Enhanced Re-ranking and Semantic Similarity Algorithm for Image Search Goals using Click-through Logs

Enhanced Re-ranking and Semantic Similarity Algorithm for Image Search Goals using Click-through Logs

Shamali Kishor Kherdikar

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Rajesh Kulkarni

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Savitribai Phule Pune University

Enhanced Re-ranking and Semantic Similarity Algorithm for Image Search Goals using Click-through Logs

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Abstract

The objective of the proposal is to analyze the user search goals for a query which can be very useful in improving search engine relevance and user experience. Although the research on inferring user goals or intents for text search has received much attention, little has been proposed for image search with visual information. In this project, we propose a novel approach to capture user search goals in image search by exploring images which are extracted by mining single sessions in user click-through logs to reflect user information needs. Moreover, we also propose a novel evaluation criterion to determine the number of user search goals for a query. Modified re-ranking and semantic similarity algorithm are part of this proposal. Experimental results demonstrate the effectiveness of the proposed method.

References

17 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Shamali Kishor Kherdikar. 2014. \u201cEnhanced Re-ranking and Semantic Similarity Algorithm for Image Search Goals using Click-through Logs\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C6): .

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GJCST Volume 14 Issue C6
Pg. 29- 34

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

click-through log image search re-ranking algorithm semantic similarity algorithm

Submission ReceivedDecember 9, 2013
Peer Review Double Blind
Handling Editor
Accepted December 31, 2013
Published January 15, 2014

Version of record

v1.2

Issue date

September 6, 2014

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Shamali Kishor Kherdikar, Rajesh Kulkarni (PhD/Dr. count: 0)

View Count (all-time): 264

Total Views (Real + Logic): 8685

Total Downloads (simulated): 2163

Publish Date: 2014 09, Sat

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Total Views: 8685

Total Downloads: 2163

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