{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:33:17Z","timestamp":1781105597858,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,4,1]]},"abstract":"<p>Movies have been a great source of entertainment for the people ever since their inception in the late 18th century. The term movie is very broad and its definition contains language and genres such as drama, comedy, science fiction and action. The data about movies over the years is very vast and to analyze it, there is a need to break away from the traditional analytics techniques and adopt big data analytics. In this paper the authors have taken the data set on movies and analyzed it against various queries to uncover real nuggets from the dataset for effective recommendation system and ratings for the upcoming movies.<\/p>","DOI":"10.4018\/ijrsda.2016040106","type":"journal-article","created":{"date-parts":[[2016,4,21]],"date-time":"2016-04-21T11:26:45Z","timestamp":1461238005000},"page":"82-100","source":"Crossref","is-referenced-by-count":13,"title":["Movie Analytics for Effective Recommendation System using Pig with Hadoop"],"prefix":"10.4018","volume":"3","author":[{"given":"Arushi","family":"Jain","sequence":"first","affiliation":[{"name":"Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vishal","family":"Bhatnagar","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal of Rough Sets and Data Analysis"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=150466","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T11:02:32Z","timestamp":1654081352000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJRSDA.2016040106"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2016,4,1]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2016,4]]}},"URL":"https:\/\/doi.org\/10.4018\/ijrsda.2016040106","relation":{},"ISSN":["2334-4598","2334-4601"],"issn-type":[{"value":"2334-4598","type":"print"},{"value":"2334-4601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,1]]}}}