Results 301 to 310 of about 297,026 (361)
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Movie Recommendation System Based on Movie Swarm
2012 Second International Conference on Cloud and Green Computing, 2012A movie recommendation is important in our social life due to its strength in providing enhanced entertainment. Such a system can suggest a set of movies to users based on their interest, or the popularities of the movies. Although, a set of movie recommendation systems have been proposed, most of these either cannot recommend a movie to the existing ...
Sajal Halder +2 more
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Movies and Actors: Mapping the Internet Movie Database
2007 11th International Conference Information Visualization (IV '07), 2007This paper presents the results of an analysis and visualization of 428,440 movies from the Internet Movie Database (IMDb) provided for the Graph Drawing 2005 contest. Simple statistics are presented as well as a tapestry of all movies with an overlay of the giant component of the co-actor network. Academy award winners are highlighted.
Bruce W. Herr +3 more
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On the preview of digital movies
Journal of Visual Communication and Image Representation, 2003Abstract In this paper, a new technique is proposed for the automatic generation of a preview sequence of a feature film. The input video is decomposed into a number of basic components called shots. In this step, the proposed shot change detection algorithm is able to detect both the abrupt and gradual transition boundary.
Liang-Hua Chen +3 more
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Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017
Recommender systems try to predict the preferences of users for specific items, based on an analysis of previous consumer behaviour. In this paper, we present Movie SCoRe, a mobile device application for personalized movie recommendation, based on a novel recommendation algorithm.
Harris Papadakis +4 more
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Recommender systems try to predict the preferences of users for specific items, based on an analysis of previous consumer behaviour. In this paper, we present Movie SCoRe, a mobile device application for personalized movie recommendation, based on a novel recommendation algorithm.
Harris Papadakis +4 more
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The English Journal, 1971
student John C., a boy professionally termed non-receptive, a slow learner, culturally deprived, a discipline problem, a nonreader, and a host of other appellations by various educational researchers. He had just privately viewed his pimpled visage starring in a Super 8 movie that my tenth-grade English class had created.
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student John C., a boy professionally termed non-receptive, a slow learner, culturally deprived, a discipline problem, a nonreader, and a host of other appellations by various educational researchers. He had just privately viewed his pimpled visage starring in a Super 8 movie that my tenth-grade English class had created.
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RELIABILITY OF RATINGS OF MOVIES BY PROFESSIONAL MOVIE CRITICS
Psychological Reports, 1990The ratings and narrative reviews for 3,144 motion pictures in Video Movie Guide 1989, by Mick Martin and Marsha Porter, were compared with those for the same movies in TV Movies and Video Guide, by Leonard Maltin. The correlation between these ratings was .67. The mean difference between these ratings was .55 points (stars) on a scale that ranged from
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Embedding movie into SBART - breeding deformed movies
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005This paper presents a new feature embedded in SBART to breed a deformed movie and an expanded image from a movie. To realize these functions, two new nonterminals for a GP-style genotype are introduced. Each of them takes one argument of a three-dimensional vector and returns a colour value picked up from the source movie. The boxel method interprets a
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A Computer Movie Simulating Urban Growth in the Detroit Region
, 1970W. Tobler
semanticscholar +1 more source
Multimodal trust based recommender system with machine learning approaches for movie recommendation
International journal of information technology, 2021S. Choudhury, S. Mohanty, A. Jagadev
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