Supervised Machine Learning Methods for Item Recommendation:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hildesheim
February 2012
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei kostenfrei |
| Beschreibung: | 1 Online-Ressource (152 Seiten) Diagramme |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV045066947 | ||
| 003 | DE-604 | ||
| 005 | 20180906 | ||
| 006 | a m||| 00||| | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 180629s2012 |||| o||u| ||||||eng d | ||
| 024 | 7 | |a urn:nbn:de:gbv:hil2-opus-1677 |2 urn | |
| 035 | |a (OCoLC)860324340 | ||
| 035 | |a (DE-599)BVBBV045066947 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-355 | ||
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 100 | 1 | |a Gantner, Zeno |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Supervised Machine Learning Methods for Item Recommendation |c by Zeno Gantner |
| 264 | 1 | |a Hildesheim |c February 2012 | |
| 300 | |a 1 Online-Ressource (152 Seiten) |b Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 502 | |b Dissertation |c Universität Hildesheim |d 2012 | ||
| 650 | 0 | 7 | |a Optimierung |0 (DE-588)4043664-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Information Retrieval |0 (DE-588)4072803-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Electronic Commerce |0 (DE-588)4592128-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Open Source |0 (DE-588)4548264-0 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Electronic Commerce |0 (DE-588)4592128-3 |D s |
| 689 | 0 | 1 | |a Information Retrieval |0 (DE-588)4072803-1 |D s |
| 689 | 0 | 2 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | 3 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 4 | |a Open Source |0 (DE-588)4548264-0 |D s |
| 689 | 0 | 5 | |a Optimierung |0 (DE-588)4043664-0 |D s |
| 689 | 0 | |5 DE-604 | |
| 856 | 4 | 0 | |u https://hildok.bsz-bw.de/frontdoor/index/index/docId/156 |x Verlag |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-1677 |x Resolving-System |z kostenfrei |3 Volltext |
| 912 | |a ebook | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030458428 | ||
Datensatz im Suchindex
| _version_ | 1804178672323657728 |
|---|---|
| any_adam_object | |
| author | Gantner, Zeno |
| author_facet | Gantner, Zeno |
| author_role | aut |
| author_sort | Gantner, Zeno |
| author_variant | z g zg |
| building | Verbundindex |
| bvnumber | BV045066947 |
| classification_rvk | ST 300 |
| collection | ebook |
| ctrlnum | (OCoLC)860324340 (DE-599)BVBBV045066947 |
| discipline | Informatik |
| format | Thesis Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01970nmm a2200493 c 4500</leader><controlfield tag="001">BV045066947</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20180906 </controlfield><controlfield tag="006">a m||| 00||| </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180629s2012 |||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:gbv:hil2-opus-1677</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)860324340</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045066947</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gantner, Zeno</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Supervised Machine Learning Methods for Item Recommendation</subfield><subfield code="c">by Zeno Gantner</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hildesheim</subfield><subfield code="c">February 2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (152 Seiten)</subfield><subfield code="b">Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Universität Hildesheim</subfield><subfield code="d">2012</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Optimierung</subfield><subfield code="0">(DE-588)4043664-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Information Retrieval</subfield><subfield code="0">(DE-588)4072803-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Electronic Commerce</subfield><subfield code="0">(DE-588)4592128-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Open Source</subfield><subfield code="0">(DE-588)4548264-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Electronic Commerce</subfield><subfield code="0">(DE-588)4592128-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Information Retrieval</subfield><subfield code="0">(DE-588)4072803-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Open Source</subfield><subfield code="0">(DE-588)4548264-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Optimierung</subfield><subfield code="0">(DE-588)4043664-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://hildok.bsz-bw.de/frontdoor/index/index/docId/156</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-1677</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030458428</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV045066947 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:07:41Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030458428 |
| oclc_num | 860324340 |
| open_access_boolean | 1 |
| owner | DE-355 DE-BY-UBR |
| owner_facet | DE-355 DE-BY-UBR |
| physical | 1 Online-Ressource (152 Seiten) Diagramme |
| psigel | ebook |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| record_format | marc |
| spelling | Gantner, Zeno Verfasser aut Supervised Machine Learning Methods for Item Recommendation by Zeno Gantner Hildesheim February 2012 1 Online-Ressource (152 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Universität Hildesheim 2012 Optimierung (DE-588)4043664-0 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf Electronic Commerce (DE-588)4592128-3 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Open Source (DE-588)4548264-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Electronic Commerce (DE-588)4592128-3 s Information Retrieval (DE-588)4072803-1 s Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Lernen (DE-588)4193754-5 s Open Source (DE-588)4548264-0 s Optimierung (DE-588)4043664-0 s DE-604 https://hildok.bsz-bw.de/frontdoor/index/index/docId/156 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-1677 Resolving-System kostenfrei Volltext |
| spellingShingle | Gantner, Zeno Supervised Machine Learning Methods for Item Recommendation Optimierung (DE-588)4043664-0 gnd Information Retrieval (DE-588)4072803-1 gnd Electronic Commerce (DE-588)4592128-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Open Source (DE-588)4548264-0 gnd |
| subject_GND | (DE-588)4043664-0 (DE-588)4072803-1 (DE-588)4592128-3 (DE-588)4193754-5 (DE-588)4033447-8 (DE-588)4548264-0 (DE-588)4113937-9 |
| title | Supervised Machine Learning Methods for Item Recommendation |
| title_auth | Supervised Machine Learning Methods for Item Recommendation |
| title_exact_search | Supervised Machine Learning Methods for Item Recommendation |
| title_full | Supervised Machine Learning Methods for Item Recommendation by Zeno Gantner |
| title_fullStr | Supervised Machine Learning Methods for Item Recommendation by Zeno Gantner |
| title_full_unstemmed | Supervised Machine Learning Methods for Item Recommendation by Zeno Gantner |
| title_short | Supervised Machine Learning Methods for Item Recommendation |
| title_sort | supervised machine learning methods for item recommendation |
| topic | Optimierung (DE-588)4043664-0 gnd Information Retrieval (DE-588)4072803-1 gnd Electronic Commerce (DE-588)4592128-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Open Source (DE-588)4548264-0 gnd |
| topic_facet | Optimierung Information Retrieval Electronic Commerce Maschinelles Lernen Künstliche Intelligenz Open Source Hochschulschrift |
| url | https://hildok.bsz-bw.de/frontdoor/index/index/docId/156 https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-1677 |
| work_keys_str_mv | AT gantnerzeno supervisedmachinelearningmethodsforitemrecommendation |