FlixTime : Group Movie Recommendation System
FlixTime is a movie recommendation web application that recommends a group of friends having different interests in movie genres, some movies that most of them will enjoy. The system uses Hybrid approach to recommend movies due to the downsides of using only content based approach or collaborative based approach. The application gives user some movies to choose from which are closest to the interests of all the groups members. Recommender systems use algorithms to provide users with useful recommendations for products or services. Recently, these systems have been using machine learning algorithms from the field of artificial intelligence. Recommendation system is categorised in four classes: Simple System using popularity, Collaborative Filtering, Content based and hybrid based Approach. A movie recommendation is being highly recognized as a part of our social life due to its strength in providing enhanced entertainment. Such a system will predict what movies a user will like based on various criterias like the attributes of previously liked movies by that user or the popularity of the movies. Although a set of movie recommendation systems have been proposed and implemented
Year of publication: |
[2023]
|
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Authors: | Jalui, Manish ; Kadam, Tejas ; Karkera, Kartik ; Wani, Rushank ; Pathak, Manjiri |
Publisher: |
[S.l.] : SSRN |
Subject: | Personalisierung | Personalization | Filmwirtschaft | Film industry | Film | Konsumentenverhalten | Consumer behaviour | Kino | Movie theatre | Electronic Commerce | E-commerce |
Saved in:
freely available
Extent: | 1 Online-Ressource (15 p) |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 16, 2023 erstellt |
Other identifiers: | 10.2139/ssrn.4428451 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014357395
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