Research Article
A Hybrid Recommender System Based on User-Recommender Interaction
| Input: , , , | | Output: recommender items() | | Method: | | (1) = the browsed items by ; | | (2) = the browser matrix of all users; | | (3) if ( or ) then | | (4) = recommended items by random algorithm; | | (5) return ; | | (6) end if | | (7) ; | | (8) = ; | | (9) for each do | | (10) = the number of browsed items by ; | | (11) if then | | (12) = ; | | (13) end if | | (14) end for | | (15) if then | | (16) = recommended items by random algorithm; | | (17) return ; | | (18) end if | | (19) = ; | | (20) = recommended items by kNN algorithm; | | (21) = ; | | (22) = recommended items by random algorithm; | | (23) = ; | | (24) return ; |
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