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Nt1310 Unit 3 Research Papers

Decent Essays

This section discuss about the common traits or ideas observed in the three research topics. Although, each of the three articles discuss a unique idea, all of them are aimed at utilizing the web data to produce better results. Web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilization of the valuable user generated data from the social media or the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by an individual. All the three articles propose an idea to solution the problem stated, compared their results to the existing models and showed significant improvement. Nguyen et al \cite{Micro:Ng} generates a summarized version of micro-reviews generated by various users through various social media sites about any …show more content…

This process is two fold. First, the model learns the different aspects that are distributed over a set of decided words and also learn their scores. Second, the model forecasts the aspects of the user for an item for a future review. For the first step, a vector of user preferences of aspects of an item, a vector of aspects of an item are used. The Dot product of the two vectors are used for the prediction step. Bi et al \cite{Rec:Bi} provides ranked related entities to the user query along with the results of the main entity. In order to do this, this articles makes use of user's search history, click history and knowledge base. A matrix is created comprising of the user information which connects to the entities along with the ranking, click results. A tri-linear function\cite{Rec:Bi} is defined mapping these details and which will be used to rank the related entities

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