Which type of algorithm do you believe gives the best Recommendations for video content on the web?

Collaborative Filter (User)

30%

Collaborative Filter (Item)

Categorical Randomization

Popularity Ranking

String/Pattern Matching

12%

Social Network Analysis

15%

Taxonomic Approximation

Machine Learning

21%

Description Logic/Rules

Total votes: 33

Recommender System [DESIGN]

UserID	Unique Identifier for each Person using the system.
Activity	Behavior type and action verb.
Item	Taxonomy object type (i.e. org.OpenRecommender.Video
Ranking Matrix	Constantly self-updating grid ranking Algorithms against Taxonomy object types and Profile archetypes
Algorithm Selection	Use top M algorithms to fill N recommendation spots
Profile	User archetypes
Relevant Options	Apply algorithms to the data sources in order to choose the next data URI to move to
RTW	Real-Time Web data
LDW	Linked Data Web (LOD cloud)
WOT	Web of Trust data
Recommend	Final action to generate the recommendations in multiple formats (RDF, XML, JSON)
Recommendations	Data to User Interface translation