Saturday 19th March, 2016
1:40pm to 2:55pm
Session Level: 100
Recommendation systems aid users in locating items (either product or services) of interest. Regardless of the domain, from shopping websites (e.g. Amazon, e-bay), to news related sites (e.g. Yahoo, CNN) and hotel or restaurant search (e.g. Yelp, hotels .com), recommenders have a huge influence on businesses' success and users' satisfaction. From a commercial standpoint, existing recommenders enable companies and items to get advertised by being offered to potential buyers. From a user perspective, these systems address the information overload concerns that web users must regularly deal with by assisting them in finding information pertaining to their interests.
In this presentation, we will provide a brief technical introduction on recommendation systems, with special emphasis on the most traditional strategy: collaborative filtering. Thereafter, we will demonstrate a Java based tool that provides appealing item suggestions based on popular recommendation strategies that examine users’ historical data (i.e., users’ and items’ ratings). Lastly, we will showcase how traditional strategies can be combined with state-of-the-art strategies to enhance the quality and usability of recommenders by focusing on personalizing suggestions.
Research Assistant at Boise State University
Nevena Dragovic received her undergraduate degree on Information System and Technologies from Belgrade University in Serbia, as well as a Bachelor of Science in Computer Science from Lewis-Clark State College from Idaho. She will receive her Masters degree in Computer Science from Boise State University in August 2016. Her research work focuses on Information Retrieval, with a special emphasis on Recommendation Systems.
Nevena's research work was presented at RecSys 2015 and Grace Hopper Celebration of Women 2015 conferences. Since joining Boise State, Nevena has been actively involved on activities organized by the Boise chapter of ACM-W. She is currently the chapter president, for the period 2015-2016.
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