Background knowledge for recommenders
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Transcript of Background knowledge for recommenders
Exploiting Background
Knowledge in recommender
systems: the DaVI approach
Marcos A. Domingues, Alípio M. Jorge, Carlos Soares
Additional Dimensions
DaVI – Dimensions as Virtual Items
• Additional Dimensions
– as a virtual item
– treated as an ordinary item to build the recommender model and generate the recommendations
Recommender Systems
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.),cos(),(
ji
jijijisim rr
rrrr
==
Item-base collaborative filtering technique
,...},,{ 43132121 iiiiiiiiM →∧→∧→=
Association rules technique
})()(
|)({Re
OrconsequentandOrantecedent
andMrrconsequentc
ii
ii
∉⊆
∈=
DaVI on Item-Based Collaborative Filtering Technique
DaVI on Associations Rules
Technique
• < user1, item1 >
• < user1, item2 >
• < user1, item3 >
• < user1, day1 >
• < user1, item1 >
• < user1, item2 >
• < user1, item3 >
• < user2, item1 >
• < user2, item1 >
• < user2, item2 >
• < user2, day2 >
• < user3, item1 >
• < user3, day3 >
• < user2, item2 >
• < user3, item1 >
,...},
,{
311321
21
itemdayitemitemitemitem
itemitemM
→∧→∧
→=
Results - CF
34% 24%
Listener Playlist
Results - AR
14.5%
23,5%
Listener Playlist
23,5%
