{ "access": { "embargo": { "active": false, "reason": null }, "files": "public", "record": "public", "status": "open" }, "created": "2019-02-11T09:25:59.295910+00:00", "custom_fields": { "meeting:meeting": { "acronym": "ICADL 2018", "dates": "19-22 November 2018", "place": "Hamilton, New Zealand", "title": "International Conference on Asian Digital Libraries", "url": "https://icadl2018.org" } }, "deletion_status": { "is_deleted": false, "status": "P" }, "files": { "count": 1, "enabled": true, "entries": { "2018-ICADL-Comparison-of-the-Performance-of-Ad-hoc-Retrieval-Models-over-Titles-vs-Fulltexts.pdf": { "checksum": "md5:f741c99d346f3cde927ceec06921fcec", "ext": "pdf", "id": "2d5fcf31-10eb-4897-96ba-79a52e964b37", "key": "2018-ICADL-Comparison-of-the-Performance-of-Ad-hoc-Retrieval-Models-over-Titles-vs-Fulltexts.pdf", "metadata": null, "mimetype": "application/pdf", "size": 395709 } }, "order": [], "total_bytes": 395709 }, "id": "2547476", "is_draft": false, "is_published": true, "links": { "access": "https://zenodo.org/api/records/2547476/access", "access_links": "https://zenodo.org/api/records/2547476/access/links", "access_request": "https://zenodo.org/api/records/2547476/access/request", "access_users": "https://zenodo.org/api/records/2547476/access/users", "archive": "https://zenodo.org/api/records/2547476/files-archive", "archive_media": "https://zenodo.org/api/records/2547476/media-files-archive", "communities": "https://zenodo.org/api/records/2547476/communities", "communities-suggestions": "https://zenodo.org/api/records/2547476/communities-suggestions", "doi": "https://doi.org/10.1007/978-3-030-04257-8_30", "draft": "https://zenodo.org/api/records/2547476/draft", "files": "https://zenodo.org/api/records/2547476/files", "latest": "https://zenodo.org/api/records/2547476/versions/latest", "latest_html": "https://zenodo.org/records/2547476/latest", "media_files": "https://zenodo.org/api/records/2547476/media-files", "parent": "https://zenodo.org/api/records/2547475", "parent_doi": "https://zenodo.org/doi/", "parent_html": "https://zenodo.org/records/2547475", "requests": "https://zenodo.org/api/records/2547476/requests", "reserve_doi": "https://zenodo.org/api/records/2547476/draft/pids/doi", "self": "https://zenodo.org/api/records/2547476", "self_doi": "https://zenodo.org/doi/10.1007/978-3-030-04257-8_30", "self_html": "https://zenodo.org/records/2547476", "self_iiif_manifest": "https://zenodo.org/api/iiif/record:2547476/manifest", "self_iiif_sequence": "https://zenodo.org/api/iiif/record:2547476/sequence/default", "versions": "https://zenodo.org/api/records/2547476/versions" }, "media_files": { "count": 0, "enabled": false, "entries": {}, "order": [], "total_bytes": 0 }, "metadata": { "additional_descriptions": [ { "description": "This is the author's version of the work. It is posted here for your personal use, not for redistribution. The definitive Version of Record was published in the proceedings of the International Conference on Asian Digital Libraries ICADL 2018, https://doi.org/10.1007/978-3-030-04257-8_30.", "type": { "id": "notes", "title": { "de": "Anmerkungen", "en": "Notes" } } } ], "creators": [ { "affiliations": [ { "name": "ZBW - Leibniz Information Centre for Economics" } ], "person_or_org": { "family_name": "Saleh", "given_name": "Ahmed", "name": "Saleh, Ahmed", "type": "personal" } }, { "affiliations": [ { "name": "ZBW - Leibniz Information Centre for Economics" } ], "person_or_org": { "family_name": "Beck", "given_name": "Tilman", "name": "Beck, Tilman", "type": "personal" } }, { "affiliations": [ { "name": "ZBW - Leibniz Information Centre for Economics" } ], "person_or_org": { "family_name": "Galke", "given_name": "Lukas", "name": "Galke, Lukas", "type": "personal" } }, { "affiliations": [ { "name": "University of Stirling" } ], "person_or_org": { "family_name": "Scherp", "given_name": "Ansgar", "name": "Scherp, Ansgar", "type": "personal" } } ], "description": "
While there are many studies on information retrieval models using full-text, there are presently no comparison studies of full-text retrieval vs. retrieval only over the titles of documents. On the one hand, the full-text of documents like scientific papers is not always available due to, e.,g., copyright policies of academic publishers.\n\n
On the other hand, conducting a search based on titles alone has strong limitations. Titles are short and therefore may not contain enough information to yield satisfactory search results. In this paper, we compare different retrieval models regarding their search performance on the full-text vs. only titles of documents.\n\n
We use different datasets, including the three digital library datasets: EconBiz, IREON, and PubMed. The results show that it is possible to build effective title-based retrieval models that provide competitive results comparable to full-text retrieval. The difference between the average evaluation results of the best title-based retrieval models is only 3% less than those of the best full-text-based retrieval models.\n\n
", "funding": [ { "award": { "acronym": "MOVING", "id": "00k4n6c32::693092", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/693092", "scheme": "url" } ], "number": "693092", "program": "H2020", "title": { "en": "Training towards a society of data-savvy information professionals to enable open leadership innovation" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } } ], "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2018-11-15", "publisher": "Zenodo", "resource_type": { "id": "publication-conferencepaper", "title": { "de": "Konferenzbeitrag", "en": "Conference paper" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "Information Retrieval" }, { "subject": "Learning to Rank" }, { "subject": "Deep Learning" } ], "title": "Performance Comparison of Ad-hoc Retrieval Models over Full-text vs. Titles of Documents" }, "parent": { "access": { "owned_by": { "user": 40380 } }, "communities": { "default": "021e015b-fbc8-4aea-a67d-405fb1e9dfbd", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2016-06-17T11:12:23+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "021e015b-fbc8-4aea-a67d-405fb1e9dfbd", "links": {}, "metadata": { "curation_policy": "", "description": "This is the collection of materials created within the \"MOVING: Training towards a society of data-savvy information professionals to enable open leadership innovation\", H2020 Research and Innovation Action (Grant Agreement 693092).", "page": "
This is the collection of materials created within the "MOVING: Training towards a society of data-savvy information professionals to enable open leadership innovation", H2020 Research and Innovation Action (Grant Agreement 693092). http://www.moving-project.eu/
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", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom and earlier Framework Programmes.", "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
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