Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Given "who-trusts/distrusts-whom" information, how can  propagate the trust and distrust? With the appearance of fraudsters in social network sites, the importance of trust prediction has increased. Most such methods use only explicit and implicit trust information (e.g., if Smith likes several of Johnson's reviews, then Smith implicitly trusts Johnson), but they do not consider distrust.   ,  propose  PIN -TRUST, a novel method to handle all three types of interaction information:  explicit  trust,  implicit  trust, and explicit distrust. The novelties of our method are the following: (a) it is carefully designed, to take into account positive, implicit, and negative information, (b) it is  scalable  (i.e., linear on the input size), (c) most importantly, it is  effective  and accurate. Our extensive experiments with a real dataset,  Epinions.com  data, of 100K nodes and 1M edges, confirm that PIN-TRUST is scalable and outperforms existing methods in terms of prediction accuracy, achieving up to 50.4 percentage relative improvement.
['Min-Hee Jang', 'Christos Faloutsos', 'Sang-Wook Kim', 'Ui-Gum Kang', 'Jiwoon Ha']
I am writing a research paper on a idea PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information
[{"from": "human", "value": "I am writing a research paper on a idea PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Given \"who-trusts/distrusts-whom\" information, how can  propagate the trust and distrust? With the appearance of fraudsters in social network sites, the importance of trust prediction has increased. Most such methods use only explicit and implicit trust information (e.g., if Smith likes several of Johnson's reviews, then Smith implicitly trusts Johnson), but they do not consider distrust.   ,  propose  PIN -TRUST, a novel method to handle all three types of interaction information:  explicit  trust,  implicit  trust, and explicit distrust. The novelties of our method are the following: (a) it is carefully designed, to take into account positive, implicit, and negative information, (b) it is  scalable  (i.e., linear on the input size), (c) most importantly, it is  effective  and accurate. Our extensive experiments with a real dataset,  Epinions.com  data, of 100K nodes and 1M edges, confirm that PIN-TRUST is scalable and outperforms existing methods in terms of prediction accuracy, achieving up to 50.4 percentage relative improvement."}]