Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Heterogeneity of both the source and target objects is taken into account in a network-based algorithm for the directional resource transformation beten objects. Based on a biased heat conduction recommendation method (BHC) which considers the heterogeneity of the target object,  propose a heterogeneous heat conduction algorithm (HHC), by further taking the source object degree as the ight of diffusion. Tested on three real datasets, the Netflix, RYM and MovieLens, the HHC algorithm is found to present a better recommendation in both the accuracy and personalization than two excellent algorithms, i.e., the original BHC and a hybrid algorithm of heat conduction and mass diffusion (HHM), while not requiring any other accessorial information or parameter. Moreover, the HHC even elevates the recommendation accuracy on cold objects, referring to the so-called cold start problem, for effectively relieving the recommendation bias on objects with different level of popularity.
['Tian Qiu', 'Tian-Tian Wang', 'Zi-Ke Zhang', 'Li-Xin Zhong', 'Guang Chen']
I am writing a research paper on a idea Heterogeneity Involved Network-based Algorithm Leads to Accurate and Personalized Recommendations
[{"from": "human", "value": "I am writing a research paper on a idea Heterogeneity Involved Network-based Algorithm Leads to Accurate and Personalized Recommendations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Heterogeneity of both the source and target objects is taken into account in a network-based algorithm for the directional resource transformation beten objects. Based on a biased heat conduction recommendation method (BHC) which considers the heterogeneity of the target object,  propose a heterogeneous heat conduction algorithm (HHC), by further taking the source object degree as the ight of diffusion. Tested on three real datasets, the Netflix, RYM and MovieLens, the HHC algorithm is found to present a better recommendation in both the accuracy and personalization than two excellent algorithms, i.e., the original BHC and a hybrid algorithm of heat conduction and mass diffusion (HHM), while not requiring any other accessorial information or parameter. Moreover, the HHC even elevates the recommendation accuracy on cold objects, referring to the so-called cold start problem, for effectively relieving the recommendation bias on objects with different level of popularity."}]