Name
Title | ||
|---|---|---|
Personalized context-aware collaborative filtering based on neural network and slope one |
Abstract | ||
|---|---|---|
Currently, context has been identified as an important factor in recommender systems. Lots of researches have been done for context-aware collaborative filtering (CF) recommendation, but the contextual parameters in current approaches have same weights for all users. In this paper we propose an approach to learn the weights of contextual parameters for every user based on back-propagation (BP) neural network (NN). Then we present how to predict ratings based on well-known Slope One CF to achieve personalized contextaware (PC-aware) recommendation. Finally, we experimentally evaluate our approach and compare it to Slope One and context-aware CF. The experiment shows that our approach provide better recommendation results than them. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04265-2_15 | CDVE |
Keywords | DocType | Volume |
better recommendation result,important factor,contextual parameter,personalized contextaware,neural network,recommender system,context-aware cf,well-known slope,current approach,personalized context-aware collaborative,context-aware collaborative,back propagation,collaborative filtering,personalization | Conference | 5738 |
ISSN | ISBN | Citations |
0302-9743 | 3-642-04264-3 | 9 |
PageRank | References | Authors |
0.66 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Gao | 1 | 111 | 9.52 |
| Zhong-fu Wu | 2 | 193 | 23.62 |