![]() The core of the proposed system has four primary modules: Firstly, there is an online recommendation engine which suggests movies based on the preferences of the user from a database of over one thousand movies. In addition to basic data integration and management, the core of the proposed system is built using AI with the goal of providing maximum amount of relevant information with user-friendly presentation, so as to minimize the time spent on user decision-making. It is a huge amelioration from the different movie managing applications available, both online and online. The proposed Smart Movie Manager System (or SmartMM which is how it is further referred to in the paper) tries to overcome the limitations of the currently available software. Different people having varying levels of strictness in judgement provide ratings (3) Recommendation system requires users explicit feedback/ratings to generate recommendations (4) Reviews range from short to very long, requiring a large amount of time on part of the reader to get a true picture (5) Manual search required to find relevant movies rather than automatically discovering those which the user already has (6) Plot keywords are determined by non-experts and are thus susceptible to wrong subjectivity. Online management systems provide a few more features but suffer from the following disadvantages: (1) Prerequisite of internet connectivity (2) Non-uniform review ratings i.e. ![]() (3) No availability of movie reviews or keywords (4) No integrated recommendation systems (5) Movie polarity though, has been considered for positive and negative sentiments of the movies, broader classifications such as happy, sad, anger, fear etc. (2) Data from multiple sources is not taken into account. This is too little to effectively critique the movie. starcast, directors), genres and ratings. Such metadata also only includes information about people involved in creating the film (e.g. Offline management systems suffer from a dearth of features, with the following problems: (1) Only basic metadata is displayed. Popularly used online movie management/lookup systems are IMDb, Rotten Tomatoes and MovieCritic etc. Popular online movie management systems are: MediaCompanion (Media Companion CodePlex, 2016), tinyMediaManager (TinyMediaManager, 2016), Ember Media Manager (EmberMediaManager, 2016) and GCStar (GCStar, 2016). Since the focus of the proposed work is towards movies, we will elaborate in terms of the same. The two primary forms of media for which management systems exist are movies and music. On the other hand, online systems, apart from the above-mentioned properties, also have simplistic recommendation systems along with additional metadata in the form of individual user reviews, links to various critic reviews, crowd sourced rating mechanism etc. Online systems provide various utilities such as, integration of relevant information, searching, import, export of metadata, basic personalization, etc. Media Management systems, both online and offline, have been used ubiquitously in recent years.
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