{"id":160919,"date":"2011-06-01T00:00:00","date_gmt":"2011-06-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/streamrec-a-real-time-recommender-system\/"},"modified":"2018-10-16T20:49:38","modified_gmt":"2018-10-17T03:49:38","slug":"streamrec-a-real-time-recommender-system","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/streamrec-a-real-time-recommender-system\/","title":{"rendered":"StreamRec: A Real-Time Recommender System"},"content":{"rendered":"
\n

This demonstration proposes StreamRec, a novel approach to building recommender systems that leverages a stream processing system capable of handling an end-to-end recommendation process in order to produce real-time recommendations. We demonstrate several popular collaborative filtering recommendation methods within StreamRec by providing an application scenario that uses StreamRec as the underlying recommendation engine.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

This demonstration proposes StreamRec, a novel approach to building recommender systems that leverages a stream processing system capable of handling an end-to-end recommendation process in order to produce real-time recommendations. We demonstrate several popular collaborative filtering recommendation methods within StreamRec by providing an application scenario that uses StreamRec as the underlying recommendation engine.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13563],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-160919","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-data-platform-analytics","msr-locale-en_us"],"msr_publishername":"ACM SIGMOD","msr_edition":"ACM SIGMOD International Conference on Management of Data (SIGMOD 2011)","msr_affiliation":"","msr_published_date":"2011-06-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"206510","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"StreamRecDemo.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/StreamRecDemo.pdf","id":206510,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":206510,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/StreamRecDemo.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"badrishc","user_id":31166,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=badrishc"},{"type":"user_nicename","value":"justinle","user_id":32451,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=justinle"},{"type":"text","value":"Ahmed Eldawy","user_id":0,"rest_url":false},{"type":"text","value":"Mohamed F. 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