Survey of Swarm Intelligence Approaches to Search Documents Based On Semantic Similarity
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866918093794574336 |
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| author | Muniyappa, Chandrashekar Kim, Eunjin |
| author_facet | Muniyappa, Chandrashekar Kim, Eunjin |
| contents | Swarm Intelligence (SI) is gaining a lot of popularity in artificial intelligence, where the natural behavior of animals and insects is observed and translated into computer algorithms called swarm computing to solve real-world problems. Due to their effectiveness, they are applied in solving various computer optimization problems. This survey will review all the latest developments in Searching for documents based on semantic similarity using Swarm Intelligence algorithms and recommend future research directions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11787 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Survey of Swarm Intelligence Approaches to Search Documents Based On Semantic Similarity Muniyappa, Chandrashekar Kim, Eunjin Artificial Intelligence 68-68W50 Swarm Intelligence (SI) is gaining a lot of popularity in artificial intelligence, where the natural behavior of animals and insects is observed and translated into computer algorithms called swarm computing to solve real-world problems. Due to their effectiveness, they are applied in solving various computer optimization problems. This survey will review all the latest developments in Searching for documents based on semantic similarity using Swarm Intelligence algorithms and recommend future research directions. |
| title | Survey of Swarm Intelligence Approaches to Search Documents Based On Semantic Similarity |
| topic | Artificial Intelligence 68-68W50 |
| url | https://arxiv.org/abs/2507.11787 |