{"id":88,"date":"2023-04-09T08:28:00","date_gmt":"2023-04-09T08:28:00","guid":{"rendered":"https:\/\/i-mreplay.athenarc.gr\/?page_id=88"},"modified":"2023-05-04T12:25:56","modified_gmt":"2023-05-04T12:25:56","slug":"workplan","status":"publish","type":"page","link":"https:\/\/i-mreplay.athenarc.gr\/?page_id=88","title":{"rendered":"Workplan"},"content":{"rendered":"<p><strong>WP1: <\/strong><strong>User modeling and personalization<\/strong><\/p>\n<p>This WP aims at building the user modeling and personalization module, through (a) well-designed questionnaires regarding the possible alteration of the user\u2019s musical preferences during COVID-19 and (b) the extraction of features from users\u2019 listening history, which will be correlated with the results of (a).<\/p>\n<p><u>Task 1.1 User Recruitment<\/u><\/p>\n<p><u>Task 1.2 Sentiment shift analysis<\/u><\/p>\n<p><u>Task 1.3 Feature Extraction and Analysis from User Playlists<\/u><\/p>\n<p><strong>WP2: <\/strong><strong>Core <\/strong><strong>Music Information Retrieval Technologies<\/strong><\/p>\n<p>The objectives of WP2 are to: i) Explore feature representations for all the core modules &#8211; music emotion recognition, music similarity and music source separation &#8211; included in the music recommendation system. ii) Build machine and deep learning models for the various modules.&nbsp;<\/p>\n<p><u>Task2.1 Literature review and data specification<\/u><\/p>\n<p><u>Task <\/u><u>2.2 Music emotion recognition<\/u><\/p>\n<p><u>Task <\/u><u>2.3 Music source separation<\/u><\/p>\n<p><u>Task 2.4 Music signal processing for music similarity<\/u><\/p>\n<p><strong>WP3: <\/strong><strong>Smart personalized music recommendation system<\/strong><\/p>\n<p>The objectives of this WP3 are to: i) develop the final smart personalized music recommendation and playlist generation system, ii) validate the developed algorithms through perceptual user tests and iii) employ results of the sentiment shift analysis for refinement and retraining of the developed models.<strong>&nbsp;<\/strong><\/p>\n<p><u>Task 3.1 Perceptual user tests<\/u><\/p>\n<p><u>Task 3.2 Music Recommendation<\/u><\/p>\n<p><strong>WP4: <\/strong><strong>Project Management, Dissemination and Exploitation<\/strong><\/p>\n<p><u>Task 4.1 Management and Administration<\/u><\/p>\n<p><u>Task 4.2 Dissemination &amp; Exploitation<\/u><\/p>\n","protected":false},"excerpt":{"rendered":"<p>WP1: User modeling and personalization This WP aims at building the user modeling and personalization module, through (a) well-designed questionnaires regarding the possible alteration of the user\u2019s musical preferences during COVID-19 and (b) the extraction of features from users\u2019 listening history, which will be correlated with the results of (a). Task 1.1 User Recruitment Task&hellip;<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/i-mreplay.athenarc.gr\/index.php?rest_route=\/wp\/v2\/pages\/88"}],"collection":[{"href":"https:\/\/i-mreplay.athenarc.gr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/i-mreplay.athenarc.gr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/i-mreplay.athenarc.gr\/index.php?rest_route=\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/i-mreplay.athenarc.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=88"}],"version-history":[{"count":12,"href":"https:\/\/i-mreplay.athenarc.gr\/index.php?rest_route=\/wp\/v2\/pages\/88\/revisions"}],"predecessor-version":[{"id":167,"href":"https:\/\/i-mreplay.athenarc.gr\/index.php?rest_route=\/wp\/v2\/pages\/88\/revisions\/167"}],"wp:attachment":[{"href":"https:\/\/i-mreplay.athenarc.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=88"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}