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An optimized location-based mobile restaurant recommend and navigation system
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wang, Zhi-Mei Yang, Fan |
| Copyright Year | 2009 |
| Abstract | With the widely used of the intelligent mobile phones with the GPS, the location-based services has become the a hot issue of mobile communications research. This paper implements a Mobile Location-based Restaurant Navigation and Recommend System. In order to improve server-side response speed for real-time query, we propose a memory pool model, the expansion Accept command, no-data client polling and interrupt mechanism, which aims to greatly optimize the server-side control procedures. On the client side, we combine the latest Web2.0 application data with the location-based data, and propose a collaborative assessment and recommend mechanisms, which can provide users with real-time location-based restaurant and recommend personalized navigation. |
| Starting Page | 809 |
| Ending Page | 818 |
| Page Count | 10 |
| File Format | PDF HTM / HTML |
| Volume Number | 6 |
| Alternate Webpage(s) | http://www.wseas.us/e-library/transactions/information/2009/29-186.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |