Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136649640> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3136649640 endingPage "226" @default.
- W3136649640 startingPage "220" @default.
- W3136649640 abstract "At present, most of the literature uses error metrics to evaluate the performance of recommendation algorithms. However, especially in Top-N recommendation tasks, the accuracy metrics can better show the pros and cons of the recommendation algorithm. Researching traditional recommendation algorithms have a big problem is that the data of recommendation system is always sparse. In order to solve the problem and improve the accuracy metrics, we add a filling matrix when predicting the rating. And then, we considering that different users have different scoring preferences, the user and item biases are added to the loss function. Finally, we use the improved alternating least square method as the optimization method to update the filling matrix in the iterative process. The experiment compared four recommendation algorithms and the results show that, in terms of accuracy metrics, the accuracy of the improved algorithm has been improved many times. In addition, since the filling of the rating matrix needs to consider both the item and the user, we compared the algorithm that considers both and only considers one. The improved algorithm that considered both has an improvement of about 1%.KeywordRecommendation algorithmAlternate least square methodAccuracy metricsMatrix factorization" @default.
- W3136649640 created "2021-03-29" @default.
- W3136649640 creator A5036123085 @default.
- W3136649640 creator A5068038451 @default.
- W3136649640 date "2021-01-01" @default.
- W3136649640 modified "2023-09-24" @default.
- W3136649640 title "An Improved Collaborative Filtering Algorithm Based on Filling Missing Data" @default.
- W3136649640 cites W2005156851 @default.
- W3136649640 cites W2093383168 @default.
- W3136649640 cites W2101409192 @default.
- W3136649640 cites W2150886314 @default.
- W3136649640 cites W2152883745 @default.
- W3136649640 cites W2253995343 @default.
- W3136649640 cites W237298919 @default.
- W3136649640 cites W2574291834 @default.
- W3136649640 cites W2605350416 @default.
- W3136649640 cites W2785570910 @default.
- W3136649640 cites W2924805287 @default.
- W3136649640 cites W4232980324 @default.
- W3136649640 doi "https://doi.org/10.1007/978-3-030-70626-5_23" @default.
- W3136649640 hasPublicationYear "2021" @default.
- W3136649640 type Work @default.
- W3136649640 sameAs 3136649640 @default.
- W3136649640 citedByCount "0" @default.
- W3136649640 crossrefType "book-chapter" @default.
- W3136649640 hasAuthorship W3136649640A5036123085 @default.
- W3136649640 hasAuthorship W3136649640A5068038451 @default.
- W3136649640 hasConcept C106487976 @default.
- W3136649640 hasConcept C111919701 @default.
- W3136649640 hasConcept C11413529 @default.
- W3136649640 hasConcept C119857082 @default.
- W3136649640 hasConcept C121332964 @default.
- W3136649640 hasConcept C124101348 @default.
- W3136649640 hasConcept C14036430 @default.
- W3136649640 hasConcept C158693339 @default.
- W3136649640 hasConcept C159985019 @default.
- W3136649640 hasConcept C192562407 @default.
- W3136649640 hasConcept C21569690 @default.
- W3136649640 hasConcept C41008148 @default.
- W3136649640 hasConcept C42355184 @default.
- W3136649640 hasConcept C557471498 @default.
- W3136649640 hasConcept C62520636 @default.
- W3136649640 hasConcept C78458016 @default.
- W3136649640 hasConcept C86803240 @default.
- W3136649640 hasConcept C98045186 @default.
- W3136649640 hasConceptScore W3136649640C106487976 @default.
- W3136649640 hasConceptScore W3136649640C111919701 @default.
- W3136649640 hasConceptScore W3136649640C11413529 @default.
- W3136649640 hasConceptScore W3136649640C119857082 @default.
- W3136649640 hasConceptScore W3136649640C121332964 @default.
- W3136649640 hasConceptScore W3136649640C124101348 @default.
- W3136649640 hasConceptScore W3136649640C14036430 @default.
- W3136649640 hasConceptScore W3136649640C158693339 @default.
- W3136649640 hasConceptScore W3136649640C159985019 @default.
- W3136649640 hasConceptScore W3136649640C192562407 @default.
- W3136649640 hasConceptScore W3136649640C21569690 @default.
- W3136649640 hasConceptScore W3136649640C41008148 @default.
- W3136649640 hasConceptScore W3136649640C42355184 @default.
- W3136649640 hasConceptScore W3136649640C557471498 @default.
- W3136649640 hasConceptScore W3136649640C62520636 @default.
- W3136649640 hasConceptScore W3136649640C78458016 @default.
- W3136649640 hasConceptScore W3136649640C86803240 @default.
- W3136649640 hasConceptScore W3136649640C98045186 @default.
- W3136649640 hasLocation W31366496401 @default.
- W3136649640 hasOpenAccess W3136649640 @default.
- W3136649640 hasPrimaryLocation W31366496401 @default.
- W3136649640 hasRelatedWork W11165844 @default.
- W3136649640 hasRelatedWork W12291563 @default.
- W3136649640 hasRelatedWork W13292222 @default.
- W3136649640 hasRelatedWork W1936106 @default.
- W3136649640 hasRelatedWork W4692372 @default.
- W3136649640 hasRelatedWork W4827627 @default.
- W3136649640 hasRelatedWork W5148358 @default.
- W3136649640 hasRelatedWork W628035 @default.
- W3136649640 hasRelatedWork W6351973 @default.
- W3136649640 hasRelatedWork W7480445 @default.
- W3136649640 isParatext "false" @default.
- W3136649640 isRetracted "false" @default.
- W3136649640 magId "3136649640" @default.
- W3136649640 workType "book-chapter" @default.