Fusion-based methods for result diversification in web search-Reference-Cited by-同舟云学术

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Fusion-based methods for result diversification in web search

Published:2019-01 Issue: Volume:45 Page:16-26
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Wu Shengli,Huang Chunlan,Li Liang^ORCID,Crestani Fabio

Funder

Natural Science Foundation of Jiangsu

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference73 articles.

1. Diversifying search results;Agrawal,2009

2. Data fusion and iot for smart ubiquitous environments: a survey;Alam;IEEE,2017

3. The role of anchor text in clueweb09 retrieval.;Anh,2010

4. Models for metasearch.;Aslam,2001

5. Hierarchical re-estimation of topic models for measuring topical diversity.;Azarbonyad,2017

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1. Personalized and Diversified: Ranking Search Results in an Integrated Way;ACM Transactions on Information Systems;2024-01-22

2. Robustness of rank aggregation methods for malicious disturbance;Information Sciences;2023-05

3. Data Fusion Performance Prophecy: A Random Forest Revelation;Information Integration and Web Intelligence;2023

4. Clustering-based fusion for medical information retrieval;Journal of Biomedical Informatics;2022-11

5. Fuzzy Deep Neural Learning Based on Goodman and Kruskal's Gamma for Search Engine Optimization;IEEE Transactions on Big Data;2022-02-01

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