9783330335165 - real time shop-type recommendation system di chincholkar, abhijeet a.; chincholkar, chaitali a. (7 risultati)

- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 71,59
EUR 11,77 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 36,35
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Real Time Shop-Type Recommendation System | Abhijeet A. Chincholkar (u. a.) | Taschenbuch | 80 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783330335165 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbie…ter: preigu.

- Brossura
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 143,00
EUR 29,41 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

- 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 39,90
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 -This book deals with Real Time shop-type recommendation system, to generate the appropriate Real Time shop-type recommendations based on popularity prediction a feature fusion matrix factorization method is suggested. When an inves…tor/shop owner decides to open a new shop on his available place and if there are various shops of different types, then Real Time shop-type recommendation can be done in following way: The location features fs and the commercial features Cst of each candidate type are required to be captured first. The set of feature values extracted for selected type t are given as a input to the feature fusion matrix factorization model. The popularity value for each type is calculated by using extracted feature values and value obtained by sentiment analysis. The predicted popularity pst is based upon the value of the selected type t and feature values of every shop type from selected circular area with radius r. In this way, for each shop type in the given location, first of all its popularity prediction is to be done. Then, as per the popularity values, all shop types are ranked in descending order and the shop types. 80 pp. Englisch.

- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 34,25
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. Autor/Autorin: Chincholkar Abhijeet A.Abhijeet A. Chincholkar works as Assistant Professor in Electronics & Telecommunication Engineering Department of Jagadambha College of Engineering & Technology, Yavatmal. He has… 10 years of teaching experience.

- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,90
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 -This book deals with Real Time shop-type recommendation system, to generate the appropriate Real Time shop-type recommendations based on popularity prediction a feature fusion matrix factorization method is suggested. When an investor/…shop owner decides to open a new shop on his available place and if there are various shops of different types, then Real Time shop-type recommendation can be done in following way: The location features fs and the commercial features Cst of each candidate type are required to be captured first. The set of feature values extracted for selected type t are given as a input to the feature fusion matrix factorization model. The popularity value for each type is calculated by using extracted feature values and value obtained by sentiment analysis. The predicted popularity pst is based upon the value of the selected type t and feature values of every shop type from selected circular area with radius r. In this way, for each shop type in the given location, first of all its popularity prediction is to be done. Then, as per the popularity values, all shop types are ranked in descending order and the shop types.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.

- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,89
EUR 60,69 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with Real Time shop-type recommendation system, to generate the appropriate Real Time shop-type recommendations based on popularity prediction a feature fusion matrix factorization method is suggested. When an investor/s…hop owner decides to open a new shop on his available place and if there are various shops of different types, then Real Time shop-type recommendation can be done in following way: The location features fs and the commercial features Cst of each candidate type are required to be captured first. The set of feature values extracted for selected type t are given as a input to the feature fusion matrix factorization model. The popularity value for each type is calculated by using extracted feature values and value obtained by sentiment analysis. The predicted popularity pst is based upon the value of the selected type t and feature values of every shop type from selected circular area with radius r. In this way, for each shop type in the given location, first of all its popularity prediction is to be done. Then, as per the popularity values, all shop types are ranked in descending order and the shop types.