Inferring User Goals Using Customer Feedback andAnalyzing Customer Behavior
نویسندگان
چکیده
منابع مشابه
Customer Feedback Analysis using Collocations
Today’s ERP and CRM systems provide companies with nearly unlimited possibilities for collecting data concerning their customers. More and more of these data are more or less unstructured textual data. A good example of this type of data is customer feedback, which can potentially be used to improve customer satisfaction. However, merely getting an overview of what lies in an unstructured mass ...
متن کاملAn Analysis of Mobile Banking User Behavior Using Customer Segmentation
This study proposed an integrated data mining and customer behavior scoring model to manage existing mobile banking users in an Iranian bank. This segmentation model was developed to identify groups of customers based on transaction history, recency, frequency, monetary background. It classified mobile banking users into six groups. This study demonstrated that identifying customers by a behavi...
متن کاملAffordance-Based Product Evolution Using Customer Feedback
Overview: Designers can benefit from involving the user in the product development process. Understanding how users perceive products can help designers make decisions that better accommodate user needs. The integration of ABD and genetic algorithms (GAs) is proposed as a way to capture the perceptions from users in the form of affordance quality evaluations. This research investigates how thos...
متن کاملUser Domain Expert Customer
Despite considerable advancements in software engineering method during the past three decades, requirement engineering of large and complex software systems still remains to be one of the more diicult and active research problems. One such diiculty is in developing correct and useful methods for analysis and validation of real-time software speciications. Formal methods have been applied in an...
متن کاملDetecting frauds using customer behavior trend analysis and known scenarios
In this paper a fraud detection method is proposed which user behaviors are modeled using two main components namely the un-normal trend analysis component and scenario based component. The extent of deviation of a transaction from his/her normal behavior is estimated using fuzzy membership functions. The results of applying all membership functions on a transaction will then be infused and a f...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications Technology and Research
سال: 2013
ISSN: 2319-8656
DOI: 10.7753/ijcatr0302.1008