Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The popular news aggregator called Digg is a social news service that lets people share new articles or blog postings in b pages with other users and vote thumbs up and thumbs down on the shared contents. Digg itself provides only the functionality to search the articles for the topics provided by users using manually tagged keywords. Helping users to find the most interesting Digg articles with the current hot topics will be very useful, but it is not an easy task to classify the articles according to their topics and discover the articles with the hot topics quickly.#R##N##R##N#,  propose HotDigg, a recommendation system to provide the articles with hot topics in Digg using a novel probabilistic generative model suitable for representing the activities in Digg service.  next propose an EM algorithm to learn the parameters of our probabilistic model. Our performance study with real-life data from Digg confirms the effectiveness of HotDigg by showing that the articles with current hot topics are recommended.
['Younghoon Kim', 'Kyuseok Shim']
I am writing a research paper on a idea HotDigg: finding recent hot topics from digg
[{"from": "human", "value": "I am writing a research paper on a idea HotDigg: finding recent hot topics from digg"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The popular news aggregator called Digg is a social news service that lets people share new articles or blog postings in b pages with other users and vote thumbs up and thumbs down on the shared contents. Digg itself provides only the functionality to search the articles for the topics provided by users using manually tagged keywords. Helping users to find the most interesting Digg articles with the current hot topics will be very useful, but it is not an easy task to classify the articles according to their topics and discover the articles with the hot topics quickly.#R##N##R##N#,  propose HotDigg, a recommendation system to provide the articles with hot topics in Digg using a novel probabilistic generative model suitable for representing the activities in Digg service.  next propose an EM algorithm to learn the parameters of our probabilistic model. Our performance study with real-life data from Digg confirms the effectiveness of HotDigg by showing that the articles with current hot topics are recommended."}]