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	<title>movie lens Archives - Petamind</title>
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	<title>movie lens Archives - Petamind</title>
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		<title>Create bipartite graph from a rating matrix</title>
		<link>https://petaminds.com/create-bipartite-graph-from-a-rating-matrix/</link>
					<comments>https://petaminds.com/create-bipartite-graph-from-a-rating-matrix/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Sun, 15 Mar 2020 01:41:19 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[bipartite]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[graph]]></category>
		<category><![CDATA[movie lens]]></category>
		<category><![CDATA[networkx]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2305</guid>

					<description><![CDATA[<p>As deep learning on graphs is trending recently, this article will quickly demonstrate how to use networkx to turn rating matrices, such as MovieLens dataset, into graph data. The rating data We use rating data from the movie lens. The rating data is loaded into rdata which is a Pandas DataFrame. This article demonstrates how [&#8230;]</p>
<p>The post <a href="https://petaminds.com/create-bipartite-graph-from-a-rating-matrix/">Create bipartite graph from a rating matrix</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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		<title>One-hot encoding matrices demonstration</title>
		<link>https://petaminds.com/one-hot-encoding-matrices-demonstration/</link>
					<comments>https://petaminds.com/one-hot-encoding-matrices-demonstration/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Sun, 29 Dec 2019 02:42:08 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[encode]]></category>
		<category><![CDATA[movie lens]]></category>
		<category><![CDATA[one-hot]]></category>
		<category><![CDATA[python]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2096</guid>

					<description><![CDATA[<p>This post will demonstrate onehot encoding for a rating matrix, such as movie lens dataset. One-hot encoding Previously, we introduced a quick note for one-hot encoding. It is a representation of categorical variables as binary vectors. It is a group of bits among which the legal combinations of values are only those with a single high (1) [&#8230;]</p>
<p>The post <a href="https://petaminds.com/one-hot-encoding-matrices-demonstration/">One-hot encoding matrices demonstration</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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		<title>Movielens automation- Process and export</title>
		<link>https://petaminds.com/movielens-automation-process-and-export/</link>
					<comments>https://petaminds.com/movielens-automation-process-and-export/#comments</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Sun, 03 Nov 2019 20:48:26 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[dataset]]></category>
		<category><![CDATA[libfm]]></category>
		<category><![CDATA[movie lens]]></category>
		<category><![CDATA[negative sampling]]></category>
		<category><![CDATA[svm light]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=1670</guid>

					<description><![CDATA[<p>Movie lens is a popular collection of datasets for recommender systems. This post introduces a python script to process the movie lens datasets, generate a negative sample, and transforms the datasets into SVM light format. The format is also known as libfm format used in many factorization machines. Movie Lens datasets MovieLens is a web-based recommender system and virtual [&#8230;]</p>
<p>The post <a href="https://petaminds.com/movielens-automation-process-and-export/">Movielens automation- Process and export</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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