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By Hiroyuki Yoshida, Ashlesha Jain, Ajita Ichalkaranje, Nikhil Ichalkaranje

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Com 50 K. Zheng et al. Resistance to end user systems by managers and professionals has been a widespread problem [33]. It is also well recognized that end users are often unwilling to use available systems that could generate significant performance gains [69, 80, 86]. , use of an IT is required to perform a job, inadequate levels of individual acceptance can diminish the long-term value of the IT [3]. Under extreme situations it can lead to serious consequences [62]. In order to better predict, explain, and increase user acceptance of IT applications, we need to understand why people accept or reject an IT.

According to the authors, CBR and RBR complement each other in CAMPER. CBR contributes an initial menu that meets design constraints by building on food combinations that have proven satisfactory in the past, and RBR allows the analysis of alternatives, so that innovation becomes possible. The ability to produce new cases for later use by a CBR module is significant. This enables the system to improve its performance over time. CAMPER, taking advantage of CBR/RBR synergy, provides a capability which neither CAMP nor PRISM provided.

3 State of Art in Nutrition Counseling Expert Systems Research in the field of computer aided nutrition counseling has begun in the 1960s. In 1964 Balintfy developed a linear programming method for optimizing menus [6]. Balintfy’s computer code has been developed to plan menus by finding minimal cost combinations of menu items such that the daily dietary, gastronomic and production requirements can be satisfied for a sequence of days. While the menus met nutritional constraints, they did not satisfy the aspects of harmony.

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