Posts Tagged proposed system
MovieIt Usability Evaluation
Last advances in mobile technologies and rapid spread of 3G networks engaged handsets with the Web bringing an instance access to online resources from any place and at any time. However, facilities of mobile devices are not equal to PC (lower screen resolution, performance issues, diversity in geometry of the display and buttons arrangement, etc.) what significantly spoils the user experience. Thus, building a web-based app we need to keep in mind this specific and follow usability rules. In this post we will examine MovieIt in terms of its usability comparing core system characteristics with mobile usability check lists.
MovieIt and Legal Aspects
The Web 2.0 content can be categorized as a user generated content (UGC) where anyone can say anything about anything. This decentralization of information publishing boosted even more intensive spread of WWW and attracted huge amount of people that generate millions of pages, records, images, videos and other multimedia content every day. Along with obvious advantages (diverse and rich content, availability of discussion platforms, etc.) social Web exposed some serious legal issues related to copyright infringements or publishing of false and detractive information about facts, individuals or legal entities. However, it would not be true to say that legal issues in the Web appeared with the movement to UGC model. Plagiarism and libel existed long before WWW invention but due to the decentralized nature of the Web 2.0 and a huge amount of generated content they became less controllable and, thus, more common. Another issue with a social content is that the majority of users does not consider online publishing as something serious and feel less responsible for the exposed web content. For example, the survey held by YouGov in 2008 revealed that “three quarters of Internet users who comment online realize they could be breaking the libel law”.
“MovieIT” demo scenarios
Last few months our team was working on demo version of proposed social network-based recommendation system. We decided to include in the minimal functionality set following features: movie and place check in, movies rating, suggestions to friends, “following” friends with similar tastes functionality and recommendation engine. This post describes available use case scenarios and provides interface screen shots of our demo application.The proposed system
Movie selection is a taste-related domain where friends (Social Groups and Group Members) influence one another by providing evaluation and advices[1]. In real world, it is time and cost consuming to find friends that they have already seen the movie (to request their opinion) or they have not and you want to propose to them to watch it together.
Our proposed system utilizes the infrastructure provided by Facebook, allowing users to state:
- Movies watched
- Comment movies, cinemas
- The movie they watched
- Suggest movies to friends
- The place they watched the movie (Using Facebook Places Service)
- Make movie groups
- Friend watched the movie with
By using the aforementioned information, the system will be able to:
- Provide movie recommendations
- Narrow it down to specific friends, movie groups, dates, area
- See the movie activity of friends
- Narrow it down to specific friends, movie groups, dates, areas
- See his friends movie recommendation
System Architecture
References
- W. Woerndl, G. Groh, “Utilizing Physical and Social Context to Improve Recommender Systems“, IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2007.