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An Optimized Mobile Restaurant Recommend System
| Content Provider | CiteSeerX |
|---|---|
| Author | Yang, Fan Wang, Zhi-Mei |
| Abstract | 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. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Optimized Mobile Restaurant Recommend System Mobile Communication Research Intelligent Mobile Phone Interrupt Mechanism Server-side Control Procedure Mobile Location-based Restaurant Navigation Expansion Accept Command No-data Client Polling Real-time Location-based Restaurant Location-based Data Location-based Service Personalized Navigation Application Data Collaborative Assessment Memory Pool Model Real-time Query Client Side Server-side Response Speed Hot Issue Recommend System |
| Content Type | Text |
| Resource Type | Article |
