2010 Challenge on Context-aware Movie Recommendation - Revision history

Alan: Reverted edits by JodieHyde (talk) to last revision by Alan

2012-01-23T16:24:59Z

Reverted edits by JodieHyde (talk) to last revision by Alan

JodieHyde at 16:10, 23 January 2012

2012-01-23T16:10:25Z

Alan at 10:17, 30 November 2011

2011-11-30T10:17:47Z

Alan at 10:15, 30 November 2011

2011-11-30T10:15:57Z

Zeno Gantner at 16:17, 18 November 2011

2011-11-18T16:17:35Z

Zeno Gantner: Category: Special issue

2011-09-29T13:36:02Z

Category: Special issue

Alan at 13:06, 29 September 2011

2011-09-29T13:06:30Z

Zeno Gantner at 12:36, 29 September 2011

2011-09-29T12:36:55Z

Zeno Gantner at 14:35, 18 August 2011

2011-08-18T14:35:05Z

Zeno Gantner at 08:35, 7 June 2011

2011-06-07T08:35:43Z

@@ Line 17: / Line 17: @@
 The [[social recommendation]] track focused on recommending movies based on users' social connections, the dataset was an anonymized subset of the data collected by Filmtipset.
-Winning submission: '''Adapting Neighborhood and Matrix Factorization Models for Context Aware Recommendations''' - [[Nathan N. In order to find some time for myself I decided to search for service that could supply me with the prime quality [http://www.qualityessay.com/custom-essays.html custom essays] at prices that would be reasonable enough. The final choice was QualityEssay.Com as they did have an excellent reputation. Liu]]
+Winning submission: '''Adapting Neighborhood and Matrix Factorization Models for Context Aware Recommendations''' - [[Nathan N. Liu]]
 === Live Evaluation ===

@@ Line 17: / Line 17: @@
 The [[social recommendation]] track focused on recommending movies based on users' social connections, the dataset was an anonymized subset of the data collected by Filmtipset.
-Winning submission: '''Adapting Neighborhood and Matrix Factorization Models for Context Aware Recommendations''' - [[Nathan N. Liu]]
+Winning submission: '''Adapting Neighborhood and Matrix Factorization Models for Context Aware Recommendations''' - [[Nathan N. In order to find some time for myself I decided to search for service that could supply me with the prime quality [http://www.qualityessay.com/custom-essays.html custom essays] at prices that would be reasonable enough. The final choice was QualityEssay.Com as they did have an excellent reputation. Liu]]
 === Live Evaluation ===

← Older revision		Revision as of 10:17, 30 November 2011
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	The '''2010 Challenge on Context-aware Movie Recommendation''' ('''CAMRA 2010''') was held at the [[RecSys2010\|2010 Recommender Systems Conference]] and consisted of three [[context-specific]] tracks.		The '''2010 Challenge on Context-aware Movie Recommendation''' ('''CAMRA 2010''') was held at the [[RecSys2010\|2010 Recommender Systems Conference]] and consisted of three [[context-specific]] tracks.
−
−	~~The challenge focused on three types of context, each having a separate track and dataset.~~

	Participants were expected to submit papers, experimental results, and an additional alorithmic onepager describing their solution. The quality of all three was then used to crown the winner of the challenge. The overall winner was '''Mining Mood-specific Movie Similarity with Matrix Factorization for Context-aware Recommendation''' - [[Yue Shi]], [[Martha Larson]], [[Alan Hanjalic]].		Participants were expected to submit papers, experimental results, and an additional alorithmic onepager describing their solution. The quality of all three was then used to crown the winner of the challenge. The overall winner was '''Mining Mood-specific Movie Similarity with Matrix Factorization for Context-aware Recommendation''' - [[Yue Shi]], [[Martha Larson]], [[Alan Hanjalic]].

@@ Line 1: / Line 1: @@
 The '''2010 Challenge on Context-aware Movie Recommendation''' ('''CAMRA 2010''') was held at the [[RecSys2010|2010 Recommender Systems Conference]] and consisted of three [[context-specific]] tracks.
 == Tracks ==
 === Track 1 - Weekly Recommendation ===
 The Weekly Recommendation track focused on [[recommending movies]] for the Christmas 2009 week and the Oscars' 2010 week in two datasets, both released exclusively for the challenge. One from [http://moviepilot.com Moviepilot] and one from [http://filmtipset.se Filmtipset].
 === Track 2 - Mood-based Recommendation ===
 The [[mood-based recommendation]] track focused on recommending movies with a specific '''emotion''' keyword. The dataset used was an anonymized subset of the data collected by Moviepilot.
 === Track 3 - Social Recommendation ===
 The [[social recommendation]] track focused on recommending movies based on users' social connections, the dataset was an anonymized subset of the data collected by Filmtipset.
 == ACM TIST Special Issue ==

← Older revision		Revision as of 16:17, 18 November 2011
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	[[Category: Movie recommendation]]		[[Category: Movie recommendation]]
	[[Category: Special issue]]		[[Category: Special issue]]
		+	[[Category: Event]]

← Older revision		Revision as of 13:36, 29 September 2011
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	[[Category: Competition]]		[[Category: Competition]]
	[[Category: Movie recommendation]]		[[Category: Movie recommendation]]
		+	[[Category: Special issue]]

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 === Track 3 - Social Recommendation ===
 The [[social recommendation]] track focused on recommending movies based on users' social connections, the dataset was an anonymized subset of the data collected by Filmtipset.
 == External links ==
 * [http://www.dai-labor.de/camra2010/ Challenge Website]
 * [http://portal.acm.org/citation.cfm?id=1869652&picked=prox&cfid=6592400&cftoken=81346418 Proceedings of the 2010 Challenge on Context-aware Movie Recommendation at the ACM Digital Library]
 {{DEFAULTSORT:CAMRA}}
 [[Category: Competition]]
 [[Category: Movie recommendation]]

@@ Line 1: / Line 1: @@
-The 2010 Challenge on Context-aware Movie Recommendation was held at the [[RecSys2010|2010 Recommender Systems Conference]] and consisted of three context-specific tracks.
+The '''2010 Challenge on Context-aware Movie Recommendation''' ('''CAMRA 2010''') was held at the [[RecSys2010|2010 Recommender Systems Conference]] and consisted of three context-specific tracks.
-====Track 1 - Weekly Recommendation====
+== Tracks ==
 The Weekly Recommendation track focused on recommending movies for the Christmas 2009 week and the Oscars' 2010 week in two datasets, both released exclusively for the challenge. One from [http://moviepilot.com Moviepilot] and one from [http://filmtipset.se Filmtipset].
-====Track 2 - Mood-based Recommendation====
+=== Track 2 - Mood-based Recommendation ===
 The mood-based recommendation track focused on recommending movies with a specific '''emotion''' keyword. The dataset used was an anonymized subset of the data collected by Moviepilot.
-====Track 3 - Social Recommendation====
+=== Track 3 - Social Recommendation ===
 The social recommendation track focused on recommending movies based on users' social connections, the dataset was an anonymized subset of the data collected by Filmtipset.
@@ Line 14: / Line 15: @@
 * [http://portal.acm.org/citation.cfm?id=1869652&picked=prox&cfid=6592400&cftoken=81346418 Proceedings of the 2010 Challenge on Context-aware Movie Recommendation at the ACM Digital Library]
+{{DEFAULTSORT:CAMRA}}
 [[Category: Competition]]
 [[Category: Movie recommendation]]