LionRank: lion algorithm-based metasearch engines for re-ranking of webpages

Vijaya, P. A.; Chander, Satish

doi:10.1007/s11432-017-9343-5

Cited by 9 publications

(2 citation statements)

References 22 publications

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“…[21] proposed a target engine selection method based on a combination of a weighted round-robin algorithm and an artificial neural network. [22] reranked the result documents with the lion algorithm based on the fuzzy integrated extended nearest neighbor (FENN) classifier. To our knowledge, there are no studies using meta-search for query suggestions.…”

Section: Meta-searchmentioning

confidence: 99%

Developing a Meta-Suggestion Engine for Search Queries

Kim

2022

IEEE Access

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Typically, search engines provide query suggestions to assist users in the search process. Query suggestions are very important for improving user's search experience. However, most query suggestions are based on the user's search logs, and they can be influenced by infrequently searched queries. Depending on the user's query, query suggestions can be ineffective in global search engines but effective in a domestic search engine. Conversely, it can be effective in global engines and weak in domestic engines. In addition, log-based query suggestions require many search logs, which makes them difficult to construct outside of a large search engine. Some search engines do not provide query suggestions, making searches difficult for users. These query suggestion vulnerabilities degrade the user's search experience. In this study, we develop a meta-suggestion, a new query suggestion scheme. Similar to meta-searches, meta-suggestions retrieve candidate queries of suggestions from other search engines. Meta-suggestions generate suggestions by reranking the aggregated candidate queries. We develop a meta-suggestion engine (MSE) browser extension that generates meta-suggestions. It can provide query suggestions for any webpage and does not require a search log. Comparing our meta-suggestions to major search engines such as Google, showed a 17% performance improvement on normalized discounted cumulative gain (NDCG) and a 31% improvement on precision. If more detailed factors, such as user preferences are discovered through continued research, it is expected that user searches will greatly improve. An enhanced user search experience is possible if factors, such as user preference, are examined in future work.

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Section: Meta-searchmentioning

confidence: 99%

Developing a Meta-Suggestion Engine for Search Queries

Kim

2022

IEEE Access

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“…At present, the research of VR image processing, from medical imaging technology to medical image processing, from big data analysis to artificial intelligence, more and more new technologies are applied to the medical field, which also improves the safety and effective treatment of patients in the process of medical treatment [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

Research of 3D image processing of VR technology in medicine based on DNN

2022

KSII TIIS

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According to a survey published in an authoritative journal in January 2020, the globalincidence rate of mental illness is 8.3% for men and 10.6% for women, which indicates thatmental illness has become a globally recognized obstacle. Therefore, specific psychotherapy including mental illness will become an important research topic. It is very effective forpatients with special mental diseases, such as mental illness, to reduce their mental reaction byexposure therapy; the system uses the virtual reality system of medical images processed by learningalgorithm to reproduce the effect of virtual reality exposure method of the high scene of transparent ladder. Compared with the old invasive exposure scene, the results show that theimprovement of both conditions has obvious effect, and the effect of human treatment underthe two conditions is not good. There are obvious differences, which show that virtual reality model will gradually replace the on-the-spot feeling. Finally, with more and more researchers have put forward a variety of other virtual reality image processing models, the research of image processing has gradually become more and more interested.

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RETRACTED ARTICLE: Efficiently harvesting deep web interfaces based on adaptive learning using two-phase data crawler framework

Murugudu

Reddy

2021

Soft Comput

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LionRank: lion algorithm-based metasearch engines for re-ranking of webpages

Cited by 9 publications

References 22 publications

Developing a Meta-Suggestion Engine for Search Queries

Developing a Meta-Suggestion Engine for Search Queries

Research of 3D image processing of VR technology in medicine based on DNN

RETRACTED ARTICLE: Efficiently harvesting deep web interfaces based on adaptive learning using two-phase data crawler framework

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