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  "access_rights": "",
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  "author": "Datar et al.",
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  "author": "Datar et al.",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2308.11490"
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    "https://doi.org/10.48550/arXiv.2308.11490"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2005.10477",
            
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  "doi": "10.57702/m80m3hif",
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  "doi": "10.57702/m80m3hif",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Salakhutdinov and Hinton",
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      "extra_author": "Salakhutdinov and Hinton",
            
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      "orcid": ""
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    },
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    {
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    {
            
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      "extra_author": "Weiss et al.",
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      "extra_author": "Weiss et al.",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Liu et al.",
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      "extra_author": "Liu et al.",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Zhang et al.",
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      "extra_author": "Zhang et al.",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Wang et al.",
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      "extra_author": "Wang et al.",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Chaidaroon and Fang",
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      "extra_author": "Chaidaroon and Fang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Shen et al.",
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      "extra_author": "Shen et al.",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    {
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      "description": "",
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      "description": "",
            
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      "name": "information-retrieval",
            
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      "title": "Information Retrieval"
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      "title": "Information Retrieval"
            
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      "name": "text-classification",
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      "name": "text-classification",
            
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      "title": "Text Classification"
            
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  "landing_page": 
            
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"https://archive.ics.uci.edu/ml/datasets/Reuters-21578",
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"https://archive.ics.uci.edu/ml/datasets/Reuters-21578",
            
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  "metadata_created": "2024-12-16T17:32:38.211138",
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  "metadata_created": "2024-12-16T17:32:38.211138",
            
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  "metadata_modified": "2024-12-16T17:32:38.590751",
            
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  "name": "reuters21578",
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  "name": "reuters21578",
            
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  "notes": "The problem of similarity search is to find the most 
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  "notes": "The problem of similarity search is to find the most 
            
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similar items in a large collection to a query item of interest. Fast 
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similar items in a large collection to a query item of interest. Fast 
            
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similarity search is at the core of many information retrieval 
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similarity search is at the core of many information retrieval 
            
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applications, such as collaborative filtering, content-based 
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applications, such as collaborative filtering, content-based 
            
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retrieval, and caching.",
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retrieval, and caching.",
            
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    "approval_status": "approved",
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "id": "f6215f18-8214-4e95-bd7b-3e1f91742dcc",
            
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      "name": "Similarity Search",
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      "name": "Text Data",
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      "name": "Text Data",
            
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      "display_name": "text classification",
            
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      "id": "98d3b2df-ea96-4826-971b-6c5bf64c999d",
            
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      "name": "text classification",
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      "name": "text classification",
            
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    {
            
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      "display_name": "topic classification",
            
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      "id": "ffd4d61a-c8e5-4e54-a05b-d16191de403f",
            
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      "name": "topic classification",
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  "title": "Reuters21578",
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  "title": "Reuters21578",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}