{"583583":{"#nid":"583583","#data":{"type":"news","title":"CSE Grad Students Wins Best Paper Award at RecSys Conference","body":[{"value":"\u003Cp\u003EA team of researchers from the Georgia Institute of Technology has won the \u003Ca href=\u0022http:\/\/dlrs-workshop.org\/\u0022 target=\u0022_blank\u0022\u003EWorkshop on Deep Learning for Recommender Systems\u0026rsquo;\u003C\/a\u003E\u0026nbsp;Best Paper Award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPresented during the \u003Ca href=\u0022https:\/\/recsys.acm.org\/recsys16\/dlrs\/\u0022\u003E2016 ACM Recommender Systems (RecSys) conference\u003C\/a\u003E, Georgia Tech students Hanjun Dai, Yichen Wang, and Rakshit Trivedi received the award for their paper\u0026nbsp;\u0026ldquo;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1609.03675v1.pdf\u0022\u003ERecurrent Coevolutionary Feature Embedding Processes for Recommendation\u003C\/a\u003E.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe paper focuses on resolving the limitations of current online recommendation systems. Companies like Amazon and Netflix use these systems to suggest products and content based on consumers\u0026rsquo; interests. However, current recommendation systems treat consumers\u0026rsquo; information as static and are built from collective rather than individual\u0026nbsp;interests.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe students, working with School of Computational Science and Engineering Assistant Professor \u003Ca href=\u0022http:\/\/www.cc.gatech.edu\/~lsong\/\u0022\u003ELe Song\u003C\/a\u003E, propose incorporating time-based and geographic dynamics into recommendation systems. These additions would allow the systems to be more proactive with suggestions and aware of related details, offering a consumer more tailored content rather than showing what others have purchased.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo achieve this, the researchers designed a novel framework that combines a recurrent neural network (RNN) over an evolving graph with a multidimensional point process (MPP) model. The RNN and MPP work in unison to mimic the human brain\u0026#39;s ability to discern information and connect seemingly random points in time and space. These additions would make recommendation systems more robust and ultimately unlock\u0026nbsp;potential uses in other disciplines.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our goal is to use recommendation systems beyond e-commerce, in such fields as artificial intelligence (AI), health care, and cybersecurity,\u0026rdquo; said Song. \u0026ldquo;For example, the approach we developed has the potential to help AI agents handle information better and perform more efficient chatbot-style duties. Another budding application is the potential to help create better drugs by suggesting specific chemical compounds that would work in conjunction with a person\u0026rsquo;s genetic code.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Three School of Computational Science and Engineering students receive Best Paper Award for their paper on deep learning and recommendation systems."}],"uid":"30267","created_gmt":"2016-11-07 17:44:24","changed_gmt":"2016-11-10 14:25:41","author":"Devin Young","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2016-11-07T00:00:00-05:00","iso_date":"2016-11-07T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"583584":{"id":"583584","type":"image","title":"Le Song_Klaus","body":null,"created":"1478540785","gmt_created":"2016-11-07 17:46:25","changed":"1478540785","gmt_changed":"2016-11-07 17:46:25","alt":"","file":{"fid":"222481","name":"Le Song.jpg","image_path":"\/sites\/default\/files\/images\/Le%20Song.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/Le%20Song.jpg","mime":"image\/jpeg","size":386090,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Le%20Song.jpg?itok=mNycu8nH"}}},"media_ids":["583584"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"146","name":"Life Sciences and Biology"}],"keywords":[{"id":"127171","name":"Le Song"},{"id":"172673","name":"Hanjun Dai"},{"id":"172674","name":"Yichen Wang"},{"id":"172675","name":"Rakshit Trivedi"},{"id":"4305","name":"cse"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"81501","name":"Amazon"},{"id":"172542","name":"Netflix"},{"id":"172676","name":"Recsys"},{"id":"172677","name":"recommendation systems"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDevin M. Young\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Assistants\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["devin.young@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}