To index or not to index: Time–space trade-offs for positional ranking functions in search engines
Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the s...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Arroyuelo, Diego [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty - Cheah, Jonathan W. ELSEVIER, 2022, IS : an international journal : data bases, Oxford [u.a.] |
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| Übergeordnetes Werk: |
volume:89 ; year:2020 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.is.2019.101466 |
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| 520 | |a Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. | ||
| 520 | |a Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. | ||
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10.1016/j.is.2019.101466 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000890.pica (DE-627)ELV049190830 (ELSEVIER)S0306-4379(19)30518-6 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Arroyuelo, Diego verfasserin aut To index or not to index: Time–space trade-offs for positional ranking functions in search engines 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Text compression Elsevier Wavelet trees Elsevier Index compression Elsevier Snippet generation Elsevier Positional indexing Elsevier González, Senén oth Marin, Mauricio oth Oyarzún, Mauricio oth Suel, Torsten oth Valenzuela, Luis oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:89 year:2020 pages:0 https://doi.org/10.1016/j.is.2019.101466 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 89 2020 0 |
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10.1016/j.is.2019.101466 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000890.pica (DE-627)ELV049190830 (ELSEVIER)S0306-4379(19)30518-6 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Arroyuelo, Diego verfasserin aut To index or not to index: Time–space trade-offs for positional ranking functions in search engines 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Text compression Elsevier Wavelet trees Elsevier Index compression Elsevier Snippet generation Elsevier Positional indexing Elsevier González, Senén oth Marin, Mauricio oth Oyarzún, Mauricio oth Suel, Torsten oth Valenzuela, Luis oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:89 year:2020 pages:0 https://doi.org/10.1016/j.is.2019.101466 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 89 2020 0 |
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10.1016/j.is.2019.101466 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000890.pica (DE-627)ELV049190830 (ELSEVIER)S0306-4379(19)30518-6 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Arroyuelo, Diego verfasserin aut To index or not to index: Time–space trade-offs for positional ranking functions in search engines 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Text compression Elsevier Wavelet trees Elsevier Index compression Elsevier Snippet generation Elsevier Positional indexing Elsevier González, Senén oth Marin, Mauricio oth Oyarzún, Mauricio oth Suel, Torsten oth Valenzuela, Luis oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:89 year:2020 pages:0 https://doi.org/10.1016/j.is.2019.101466 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 89 2020 0 |
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10.1016/j.is.2019.101466 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000890.pica (DE-627)ELV049190830 (ELSEVIER)S0306-4379(19)30518-6 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Arroyuelo, Diego verfasserin aut To index or not to index: Time–space trade-offs for positional ranking functions in search engines 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Text compression Elsevier Wavelet trees Elsevier Index compression Elsevier Snippet generation Elsevier Positional indexing Elsevier González, Senén oth Marin, Mauricio oth Oyarzún, Mauricio oth Suel, Torsten oth Valenzuela, Luis oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:89 year:2020 pages:0 https://doi.org/10.1016/j.is.2019.101466 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 89 2020 0 |
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10.1016/j.is.2019.101466 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000890.pica (DE-627)ELV049190830 (ELSEVIER)S0306-4379(19)30518-6 DE-627 ger DE-627 rakwb eng 610 VZ 44.83 bkl Arroyuelo, Diego verfasserin aut To index or not to index: Time–space trade-offs for positional ranking functions in search engines 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. Text compression Elsevier Wavelet trees Elsevier Index compression Elsevier Snippet generation Elsevier Positional indexing Elsevier González, Senén oth Marin, Mauricio oth Oyarzún, Mauricio oth Suel, Torsten oth Valenzuela, Luis oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:89 year:2020 pages:0 https://doi.org/10.1016/j.is.2019.101466 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 89 2020 0 |
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Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
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Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
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10.1016/j.is.2019.101466 |
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610 |
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to index or not to index: time–space trade-offs for positional ranking functions in search engines |
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To index or not to index: Time–space trade-offs for positional ranking functions in search engines |
| abstract |
Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. |
| abstractGer |
Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. |
| abstract_unstemmed |
Positional ranking functions, widely used in web search engines and related search systems, improve result quality by exploiting the positions of the query terms within documents. However, it is well known that positional indexes demand large amounts of extra space, typically about three times the space of a basic nonpositional index. Textual data, on the other hand, is needed to produce text snippets. In this paper, we study time–space trade-offs for search engines with positional ranking functions and text snippet generation. We consider both index-based and non-index based alternatives for positional data. We aim to answer the question of whether positional data should be indexed, and how. |
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To index or not to index: Time–space trade-offs for positional ranking functions in search engines |
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https://doi.org/10.1016/j.is.2019.101466 |
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González, Senén Marin, Mauricio Oyarzún, Mauricio Suel, Torsten Valenzuela, Luis |
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González, Senén Marin, Mauricio Oyarzún, Mauricio Suel, Torsten Valenzuela, Luis |
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2024-07-06T20:53:17.289Z |
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