9786206166894 - movie recommendation system using convolution neural network: elevating movie recommendation through advanced clustering with convolutional neural networks di kumari, jyoti; sharma, sanjiv; yadav, pradeep (5 risultati)

- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,45
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Movie Recommendation System Using Convolution Neural Network | Elevating Movie Recommendation through Advanced Clustering with Convolutional Neural Networks | Jyoti Kumari (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206166894 | Verantwortliche Person für die E…U: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Web-based recommendation strategies, known as RS, have become increasingly relevant and widely utilized due to the vast amount of information available online. The demand for personalized and filtered systems continues to grow as a… result. Recommendation systems serve as information filtering schemes that address the problem of information overload by extracting crucial insights from immense and continuously generated data. They predict user ratings or preferences for items, aiding in decision-making. This work explores various recommendation systems and algorithms applied specifically to movie recommendations. 60 pp. Englisch.

- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 37,23
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Web-based recommendation strategies, known as RS, have become increasingly relevant and widely utilized due to the vast amount of information available online. The demand for personalized and filtered systems continu…es to grow as a result. Recommendation sy.

- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Web-based recommendation strategies, known as RS, have become increasingly relevant and widely utilized due to the vast amount of information available online. The demand for personalized and filtered systems continues to grow as a res…ult. Recommendation systems serve as information filtering schemes that address the problem of information overload by extracting crucial insights from immense and continuously generated data. They predict user ratings or preferences for items, aiding in decision-making. This work explores various recommendation systems and algorithms applied specifically to movie recommendations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 44,59
EUR 60,54 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Web-based recommendation strategies, known as RS, have become increasingly relevant and widely utilized due to the vast amount of information available online. The demand for personalized and filtered systems continues to grow as a resu…lt. Recommendation systems serve as information filtering schemes that address the problem of information overload by extracting crucial insights from immense and continuously generated data. They predict user ratings or preferences for items, aiding in decision-making. This work explores various recommendation systems and algorithms applied specifically to movie recommendations.