2 research outputs found

    Large Formless Sets of Data for Competitor Mining

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    A company's success is determined by its ability to make a thing appealing to its customers rather than the competitors. We have some questions within the context of this challenge: how can competition between two parts be formalized and quantified? Who are the primary rivals of a certain item? What are an item's most distinguishing features? Despite the fact that this subject has a wide range of influence and relevance, only a little amount of effort has gone into developing a suitable answer. The competition between two items is observed formally in this project, depending on the business areas they both represent. Consumer comments and a wide range of available knowledge in a variety of fields are used in our competitiveness assessment. We provide efficient approaches for assessing competition and resolving the inherent challenge of finishing the top-known competitors of a specific object using large data sets. Finally, we test the validity and scalability of our conclusions using a variety of datasets from other domains
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