Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently, social event recommendation, which is to recommend a list of upcoming events to a user, has attracted a lot of research interests. ,  first construct a heterogeneous graph to express the interactions among different types of entities in event-based social network. Based on the constructed graph,  propose a novel recommendation algorithm called reverse random walk with restart to obtain the recommended events for each user. Since the participant capacity of an event may be constrained to a limited number of users,  further propose a scale control algorithm to coordinate unbalanced user arrangements among events. Experiment results on Meetup dataset show that the proposed method outperforms the state-of-art algorithms in terms of higher recommendation precision, larger recommendation coverage.
['Bixi Li', 'Bang Wang', 'Yijun Mo', 'Laurence T. Yang']
I am writing a research paper on a idea A Novel Random Walk and Scale Control Method for Event Recommendation
[{"from": "human", "value": "I am writing a research paper on a idea A Novel Random Walk and Scale Control Method for Event Recommendation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently, social event recommendation, which is to recommend a list of upcoming events to a user, has attracted a lot of research interests. ,  first construct a heterogeneous graph to express the interactions among different types of entities in event-based social network. Based on the constructed graph,  propose a novel recommendation algorithm called reverse random walk with restart to obtain the recommended events for each user. Since the participant capacity of an event may be constrained to a limited number of users,  further propose a scale control algorithm to coordinate unbalanced user arrangements among events. Experiment results on Meetup dataset show that the proposed method outperforms the state-of-art algorithms in terms of higher recommendation precision, larger recommendation coverage."}]