نتایج جستجو برای: movie therapy
تعداد نتایج: 664767 فیلتر نتایج به سال:
Nber Working Paper Series Social Learning and Peer Effects in Consumption: Evidence from Movie Sales
Using box-office data for all movies released between 1982 and 2000, I test the implications of a simple model of social learning in which the consumption decisions of individuals depend on information they receive from their peers. The model predicts different box office sales dynamics depending on whether opening weekend demand is higher or lower than expected. I use a unique feature of the m...
OBJECTIVE To assess whether, as has been hypothesised since medieval times, acute fear can curdle blood. DESIGN Crossover trial. SETTING Main meeting room of Leiden University's Department of Clinical Epidemiology, the Netherlands, converted to a makeshift cinema. PARTICIPANTS 24 healthy volunteers aged ≤30 years recruited among students, alumni, and employees of the Leiden University Med...
This paper presents INTIMATE, a web-based movie recommender that makes suggestions by using text categorization to learn from movie synopses The performance of various feature representations, feature selectors, feature weighting mechanisms and classifiers is evaluated and discussed. INTIMATE was also compared with a feature-based movie recommender. The results show that the text-based approach...
A continuity script describes very carefully the content of a movie shot by shot. This paper introduces a framework for extracting structural units such as shots, scenes, actions and dialogs from the script, and aligning them to the movie based on the longest matching subsequence between them. We present experimental results and applications of the framework with a full-length movie and discuss...
The Internet Movie Database (IMDB) is one of the largest online resources for general movie information combined with a forum in which users can rate movies. We investigate the extent to which a movie’s average user rating can be predicted after learning the relationship between the rating and a movie’s various attributes from a training set. Two methods are evaluated: kernel regression and mod...
T here is a series of documentaries trackmg a group of British schoolchildren every seven years, that began when they were all at age seven with a film called Seven-up, and has now passed age 35. The films were made with an explicit assumption that social class and innate character, properties already apparent in a seven-year old, would be the defining characteristics of the adult's life. While...
ClipBoard is a novel system aimed at improving the accessibility of movies. Although subtitles and audio description are already provided for some TV programs and by a limited number of movie theaters, the availability of accessible content still depends on the choice of the film distributor. Through ClipBoard it is possible to synchronize in real-time, using a portable device such as a smartph...
This paper describes our approach for the “Who Rated What” task in KDD Cup 2007 competition. Given the Netflix data set that consists of more than 100 million ratings between 1998 and 2005, this task is to predict the probability that each user-movie pair was rated in 2006. Totally 100,000 user-movie pairs are drawn from the Netflix data set as the test set. In our approach, the Netflix data se...
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