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Personalized local search using ontology based user profile category model | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 12، Special Issue، اسفند 2021، صفحه 1693-1702 اصل مقاله (809.61 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5856 | ||
| نویسندگان | ||
| N. Ilayaraja* 1؛ R.M. Periakaruppan2 | ||
| 1Computer Applications, PSG College of Technology, Coimbatore, India | ||
| 2Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore, India | ||
| تاریخ دریافت: 10 مهر 1400، تاریخ پذیرش: 30 آبان 1400 | ||
| چکیده | ||
| The personalized local mobile search aims at finding the right on the spot information that is most relevant to the user's requests. It is implemented as a mobile application where the user can access nearby places based on his/ her current location. In Today's technology driven world user profiles are the virtual representation of each user and they include a variety of user information such as personal, interest and preference data. These profiles are the outcome of the user profiling process and they are essential to service personalization. The user profile based personalization approach can be applied to enhance the power of mobile local search for local spots and contributes to a significant convenience in location-based mobile searching. The system takes the user information such as personal, health, entertainment and choice of preference and these parameters are passed to Google Maps API key for personalized query processing. As a result, the user will get prominent services rather than closing one. | ||
| کلیدواژهها | ||
| Robot collision؛ Capacitance sensor؛ Non–Contact Sensor؛ Human safety | ||
| مراجع | ||
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