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Suruchi Chawla
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2020 – today
- 2022
- [j9]Suruchi Chawla:
Application of Convolution Neural Networks in Web Search Log Mining for Effective Web Document Clustering. Int. J. Inf. Retr. Res. 12(1): 1-14 (2022) - 2021
- [j8]Suruchi Chawla:
Application of convolution neural network in web query session mining for personalised web search. Int. J. Comput. Sci. Eng. 24(4): 417-428 (2021) - [j7]Suruchi Chawla:
Application of Fuzzy C-Means Clustering and Semantic Ontology in Web Query Session Mining for Intelligent Information Retrieval. Int. J. Fuzzy Syst. Appl. 10(1): 1-19 (2021)
2010 – 2019
- 2018
- [j6]Suruchi Chawla:
Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web Search. J. Inf. Technol. Res. 11(2): 110-127 (2018) - 2016
- [j5]Suruchi Chawla:
A novel approach of cluster based optimal ranking of clicked URLs using genetic algorithm for effective personalized web search. Appl. Soft Comput. 46: 90-103 (2016) - [j4]Suruchi Chawla:
Application of Genetic Algorithm and Back Propagation Neural Network for Effective Personalize Web Search-Based on Clustered Query Sessions. Int. J. Appl. Evol. Comput. 7(1): 33-49 (2016) - 2013
- [j3]Suruchi Chawla:
Personalised web search using ACO with information scent. Int. J. Knowl. Web Intell. 4(2/3): 238-259 (2013) - 2012
- [j2]Suruchi Chawla:
Semantic Query Expansion using Cluster Based Domain Ontologies. Int. J. Inf. Retr. Res. 2(2): 13-28 (2012) - 2011
- [j1]Punam Bedi, Suruchi Chawla:
High Scent Web Page Recommendations Using Fuzzy Rough Set Attribute Reduction. Trans. Rough Sets 14: 18-36 (2011)
2000 – 2009
- 2009
- [c3]Punam Bedi, Suruchi Chawla:
Use of Fuzzy Rough Set Attribute Reduction in High Scent Web Page Recommendations. RSFDGrC 2009: 192-200 - 2008
- [c2]Suruchi Chawla, Punam Bedi:
Finding Hubs and Authorities using Information Scent to Improve the Information Retrieval precision. IC-AI 2008: 185-191 - [c1]Suruchi Chawla, Punam Bedi:
Improving Information Retrieval Precision by Finding Related Queries with Similar Information Need Using Information Scent. ICETET 2008: 486-491
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