Leong and Silva have likened the sexually violent predator (SVP) laws to fictional serial slashers in horror movies. Like Jason in Friday the 13th, these cannot be vanquished and reappear in sequel after sequel, meaner and naughtier. The latest episode of the SVP trilogy premiered on January 22, 2002, in the chambers of the U.S. Supreme Court. The analogy with serial slasher movies, although on...

Item features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on attributes such as genres. Traditionally, movie features are human-generated, either editorially or by leveraging the wisdom of the crowd. In this short paper, we present a recommender system for movies based of Factorization Machines th...

We present a method to classify movies on the basis of audio-visual cues present in the previews. A preview summarizes the main idea of a movie providing suitable amount of information to perform the genre classification. We perform the initial classification into action and non-action by computing the visual disturbance feature of every movie. Visual disturbance is defined as a measure of moti...

This paper proposes a movie genreprediction based on multinomial probability model. To the best of our knowledge, this problem has not been addressed yet in the field of recommender system. The prediction of a movies genre has many practical applications including complementing the items categories given by experts and providing a surprise effect in the recommendations given to a user. We emplo...

User content curation is becoming an important source of preference data, as well as providing information regarding the items being curated. One popular approach involves the creation of lists. On Twitter, these lists might contain accounts relevant to a particular topic, whereas on a community site such as the Internet Movie Database (IMDb), this might take the form of lists of movies sharing...

Horror movies consistently reflect metaphorical associations between verticality and affect, as well as between brightness and affect. For example, bad events happen when movie characters are going downwards, or when lights go off. Monsters and villains emerge from below and from the darkness. And protagonists get lost and stuck in dark underground caves, dungeons, tunnels, mines, bunkers or se...

This study examines processes that contribute to the underrepresentation of women in film by linking the depiction of gender in film to its impact on domestic box office returns. Drawing on a sample of widely distributed movies from 2000 to 2009 (n = 974), we test whether the box office under-performance of films with an independent female presence results primarily from “downstream” public rej...

Collaborative filtering recommends items to a user based on the interests of other users having similar preferences. However, high dimensional, sparse data result in poor performance in collaborative filtering. This paper introduces an approach called multiple metadata-based collaborative filtering (MMCF), which utilizes meta-level information to alleviate this problem, e.g., metadata such as g...

most of iranian comedy films, before and after the revolution, can be categorized as romantic comedies. these films depict romantic relationship between men and women as a funny incident and constitute the iranian romantic comedy genre. drawing on genre theory, this paper aims at understanding the relationship between the romantic comedy’s heroes and heroines with their friends, and at finding ...

Social tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. Such information can be valuable in building automatic systems to create tags for movies. Automatic tagging systems can help recommendation engines to improve the retrieval of similar movies as well as help viewers to k...