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Demonstrations provide researchers and practitioners with an exciting and interactive opportunity to present their systems, artifacts and/or research prototypes, either at a regular session or at the technical exhibition. In any case, it is required to avoid a commercial format, even if the demo consists of presenting a business product or service. Instead, the presentation should focus on technical aspects.
Any written support materials may be distributed locally but not published in the proceedings. Authors who already present a paper at the conference may apply for a demonstration, to complement but not to replace their paper presentation. Demonstrations can also be made by sponsor companies or as a mixed initiative involving researchers and industrial partners.
Demonstrations are based on an informal setting that encourages presenters and participants to engage in discussions about the presented work. This is an opportunity for the participants to disseminate practical results of their research and to network with other applied researchers or business partners.

Concerning the format of the demo, we can accommodate it either as a demonstration in a booth (physical area of 4 sq. meter, with a table and 2 chairs) at the exhibition area, as a poster or as a 20 min oral presentation at a session especially set up for demonstrations. It is also possible to organize the presentation of the same demo in more than one format. Please contact the event secretariat.

Connected Closet: A Semantically Enriched Mobile Recommender System for Smart Closets


Anders Kolstad
Department of Computer and Information Science, Norwegian University of Science and Technology
Brief Bio
Anders Kolstad is a computer science student at the Norwegian University of Science and Technology, currently working on his master thesis on Internet of Things, recommender systems, and semantic web. During the summer of 2016, the presenter did a summer internship at Accenture in Norway. During this internship, the presenter and a team of other students, came up with the idea for Connected Closet and started on the development of a prototype. Anders Kolstad was involved in multiple parts on the system, mostly focusing on the development of the mobile application. When the presenter started working on his master thesis, a research cooperation between NTNU and Accenture was created, with the main goal of researching how to enable recommender systems and semantic web into the closet developed at Accenture. Anders Kolstad's research topics of interest are web intelligence, big data, semantic web, recommender systems, and internet of things.
Scope: Connected Closet is a smart IoT closet and mobile application that helps the users in making daily outfit selections, and helps them efficiently organize their overloaded closets in an eco-friendly way, by receiving recommendations for garments to donate or recycle. Clothing items enabled with RFID tags can be manually scanned by a small computer embedded in the user’s closet. The user can then get an inventory overview of his closet from the mobile application. The system employs two novel recommendation techniques. The first one is a collaborative filtering approach where we rethink the conventional user-item matrix into an outfit-item matrix. The second one is a content-based approach enabled with Linked Open Data, semantically enriching the descriptions of the clothing items. These recommendation techniques take several context factors in to account when computing the outfit recommendation. Such as: weather, season, usage history, and taste profile. In this demonstration, we will display our IoT closet prototype, built for demonstrational purposes, and how the closet interacts with a mobile application. We hope our demonstration can convince the participants that there is a use for such a system.

Plan for the Session: Will set up the IoT demonstrator on a small table, and have a smart phone by its side, running the mobile application. Participants will get a demonstration on how to use the system and will be able to try it out for themselves.

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