Conferences in DBLP

(recsys)
2008 (conf/recsys/2008)

1. 
   Computational advertising and recommender systems. [Citation Graph (, )][DBLP]
   
   
2. 
   Boosting collaborative filtering based on statistical prediction errors. [Citation Graph (, )][DBLP]
   
   
3. 
   The long tail of recommender systems and how to leverage it. [Citation Graph (, )][DBLP]
   
   
4. 
   Tied boltzmann machines for cold start recommendations. [Citation Graph (, )][DBLP]
   
   
5. 
   MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks. [Citation Graph (, )][DBLP]
   
   
6. 
   Mining recommendations from the web. [Citation Graph (, )][DBLP]
   
   
7. 
   Tag recommendations based on tensor dimensionality reduction. [Citation Graph (, )][DBLP]
   
   
8. 
   Social ranking: uncovering relevant content using tag-based recommender systems. [Citation Graph (, )][DBLP]
   
   
9. 
   Recommending topics for self-descriptions in online user profiles. [Citation Graph (, )][DBLP]
   
   
10. 
    Personalized, interactive tag recommendation for flickr. [Citation Graph (, )][DBLP]
    
    
11. 
    A cross-cultural user evaluation of product recommender interfaces. [Citation Graph (, )][DBLP]
    
    
12. 
    Personalized online document, image and video recommendation via commodity eye-tracking. [Citation Graph (, )][DBLP]
    
    
13. 
    Evaluation of an ontology-content based filtering method for a personalized newspaper. [Citation Graph (, )][DBLP]
    
    
14. 
    Incremental probabilistic latent semantic analysis for automatic question recommendation. [Citation Graph (, )][DBLP]
    
    
15. 
    Pfp: parallel fp-growth for query recommendation. [Citation Graph (, )][DBLP]
    
    
16. 
    Critique graphs for catalogue navigation. [Citation Graph (, )][DBLP]
    
    
17. 
    Avoiding monotony: improving the diversity of recommendation lists. [Citation Graph (, )][DBLP]
    
    
18. 
    A random walk method for alleviating the sparsity problem in collaborative filtering. [Citation Graph (, )][DBLP]
    
    
19. 
    A collaborative constraint-based meta-level recommender. [Citation Graph (, )][DBLP]
    
    
20. 
    The information cost of manipulation-resistance in recommender systems. [Citation Graph (, )][DBLP]
    
    
21. 
    Unsupervised retrieval of attack profiles in collaborative recommender systems. [Citation Graph (, )][DBLP]
    
    
22. 
    Integrating tags in a semantic content-based recommender. [Citation Graph (, )][DBLP]
    
    
23. 
    CARD: a decision-guidance framework and application for recommending composite alternatives. [Citation Graph (, )][DBLP]
    
    
24. 
    A new approach to evaluating novel recommendations. [Citation Graph (, )][DBLP]
    
    
25. 
    Crafting the initial user experience to achieve community goals. [Citation Graph (, )][DBLP]
    
    
26. 
    Choosing attribute weights for item dissimilarity using clikstream data with an application to a product catalog map. [Citation Graph (, )][DBLP]
    
    
27. 
    Flexible recommendations over rich data. [Citation Graph (, )][DBLP]
    
    
28. 
    Who predicts better?: results from an online study comparing humans and an online recommender system. [Citation Graph (, )][DBLP]
    
    
29. 
    UTA-Rec: a recommender system based on multiple criteria analysis. [Citation Graph (, )][DBLP]
    
    
30. 
    kNN CF: a temporal social network. [Citation Graph (, )][DBLP]
    
    
31. 
    Three recommender approaches to interface controls reduction. [Citation Graph (, )][DBLP]
    
    
32. 
    Prototyping recommender systems in jcolibri. [Citation Graph (, )][DBLP]
    
    
33. 
    Online-updating regularized kernel matrix factorization models for large-scale recommender systems. [Citation Graph (, )][DBLP]
    
    
34. 
    Personalized recommendation in social tagging systems using hierarchical clustering. [Citation Graph (, )][DBLP]
    
    
35. 
    Matrix factorization and neighbor based algorithms for the netflix prize problem. [Citation Graph (, )][DBLP]
    
    
36. 
    Adaptive collaborative filtering. [Citation Graph (, )][DBLP]
    
    
37. 
    Can people collaborate to improve the relevance of search results? [Citation Graph (, )][DBLP]
    
    
38. 
    Recommending scientific articles using citeulike. [Citation Graph (, )][DBLP]
    
    
39. 
    The value of personalised recommender systems to e-business: a case study. [Citation Graph (, )][DBLP]
    
    
40. 
    Exploiting contextual information in recommender systems. [Citation Graph (, )][DBLP]
    
    
41. 
    An independent platform for the monitoring, analysis and adaptation of web sites. [Citation Graph (, )][DBLP]
    
    
42. 
    Navigation support for learners in informal learning environments. [Citation Graph (, )][DBLP]
    
    
43. 
    Improving top-n recommendation techniques using rating variance. [Citation Graph (, )][DBLP]
    
    
44. 
    PITTCULT: trust-based cultural event recommender. [Citation Graph (, )][DBLP]
    
    
45. 
    A network performance recommendation process for advanced internet applications users. [Citation Graph (, )][DBLP]
    
    
46. 
    A recommender system to provide adaptive and inclusive standard-based support along the elearning life cycle. [Citation Graph (, )][DBLP]
    
    
47. 
    Implications of psychological phenomenons for recommender systems. [Citation Graph (, )][DBLP]
    
    
48. 
    Leveraging aggregate ratings for improving predictive performance of recommender systems. [Citation Graph (, )][DBLP]
    
    
49. 
    Robust recommender systems. [Citation Graph (, )][DBLP]
    
    
50. 
    Tutorial on recent progress in collaborative filtering. [Citation Graph (, )][DBLP]
    
    
51. 
    Context-aware recommender systems. [Citation Graph (, )][DBLP]