Beyond the stars: exploiting free-text user reviews to improve the accuracy of movie recommendations
In this paper we show that the extraction of opinions from free-text reviews can improve the accuracy of movie recommendations. We present three approaches to extract movie aspects as opinion targets and use them as features for the collaborative filtering. Each of these approaches requires different amounts of manual interaction. We collected a data set of reviews with corresponding ordinal (star…
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Leibniz-Institut für Deutsche Sprache - Bibliothek
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Stvorio/la
- Jakob, Niklas
- Weber, Stefan Hagen
- Müller, Mark-Christoph
- Gurevych, Iryna
Izdavač
- New York : Association for Computing Machinery
- Mannheim : Leibniz-Institut für Deutsche Sprache (IDS) [Zweitveröffentlichung]
Tema
Vrsta predmet
- Konferenzbeitrag
Stvorio/la
- Jakob, Niklas
- Weber, Stefan Hagen
- Müller, Mark-Christoph
- Gurevych, Iryna
Izdavač
- New York : Association for Computing Machinery
- Mannheim : Leibniz-Institut für Deutsche Sprache (IDS) [Zweitveröffentlichung]
Tema
Vrsta predmet
- Konferenzbeitrag
Institucija iz koje dolazi
- Leibniz-Institut für Deutsche Sprache - Bibliothek
Agregator
Uvjeti korištenja medija u ovom zapisu (osim ako nije drugačije navedeno)
- http://rightsstatements.org/vocab/InC/1.0/
Prava
- Leibniz-Institut für Deutsche Sprache - Bibliothek
Datum stvaranja
- 2022-07-19
- 2022-07-19
Identifikator
- http://www.deutsche-digitale-bibliothek.de/item/4JGV467VKHXE425Z67J7ZNGPMUXKJ4KR
Format
- text
Jezik
- eng
- eng
Država iz koje dolazi
- Germany
Naziv zbirke
Prvi put objavljeno na Europeana
- 2023-09-20T09:27:47.834Z
Zadnji put ažurirano od institucije koja pruža podatke
- 2023-09-20T09:27:47.834Z