An interactive recommendation system and an interactive recommendation method are provided. The interactive recommendation method includes the following steps. Firstly, a server receives a user request from a user device through the Internet. Then, the server analyzes the user request and generates at least one subsidiary request corresponding to the user request. Then, the server issues an interactive request to the user device according to the at least one subsidiary request. The server generates a recommended application program list according to the at least one subsidiary request. After the user device responds to the interactive request, the server recommends at least one application program in the recommended application program list to the user device.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An interactive recommendation method for use with a user device and a server, the user device and the server being in communication with the Internet, the interactive recommendation method comprising steps of: the server receiving a user request from the user device through the Internet; the server analyzing the user request and generating at least one subsidiary request corresponding to the user request; the server issuing an interactive request to the user device according to the at least one subsidiary request; and the server generating a recommended application program list according to the at least one subsidiary request, wherein after the user device responds to the interactive request, the server recommends at least one application program in the recommended application program list to the user device. 2. The interactive recommendation method as claimed in claim 1, wherein the user request is a sentence containing at least one keyword set, wherein after the sentence is analyzed, the server acquires the at least one keyword set and generates the at least one subsidiary request according to the at least one keyword set. 3. The interactive recommendation method as claimed in claim 1, wherein the recommended application program list is ranked according to a relativity, and the most relevant application program in the recommended application program list is recommended to the user device by the server. 4. The interactive recommendation method as claimed in claim 3, wherein the relativity is calculated according to a similarity to the subsidiary request, a number of downloaded times, a user evaluation, an advertising sponsorship, or the combination thereof. 5. The interactive recommendation method as claimed in claim 1, further comprising a step of collecting at least one information about at least one behavior that is operated through the user device. 6. The interactive recommendation method as claimed in claim 5, wherein the at least one information includes a search action, a click action, a use time duration or the combination thereof. 7. The interactive recommendation method as claimed in claim 5, wherein after the at least one information from the at least one behavior of users with a similar request is analyzed, acquired and merged into a common behavior, the at least one subsidiary request is acquired. 8. The interactive recommendation method as claimed in claim 1, wherein after the user device responds to the interactive request by issuing a confirmation message to the server, the server recommends the at least one application program in the recommended application program list to the user device. 9. An interactive recommendation system for use with a user device, the user device being in communication with the Internet, the interactive recommendation system comprising: an interaction module in communication with the Internet, wherein the interaction module receives a user request from the user device through the Internet, analyzes the user request, generates at least one subsidiary request corresponding to the user request, and issues an interactive request to the user device according to the at least one subsidiary request; and a recommendation module in communication with the interaction module, wherein the recommendation module generates a recommended application program list according to the at least one subsidiary request, wherein after the user device responds to the interactive request, the recommendation module recommends at least one application program in the recommended application program list to the user device. 10. The interactive recommendation system as claimed in claim 9, wherein the user request received by the interaction module is a sentence containing at least one keyword set, wherein after the sentence is analyzed, the interaction module acquires the at least one keyword set and generates the at least one subsidiary request according to the at least one keyword set. 11. The interactive recommendation system as claimed in claim 9, wherein the interactive recommendation system further comprises a ranking module, and the ranking module is in communication with the interaction module and the recommendation module, wherein the recommended application program list is ranked by the ranking module according to a relativity, and the most relevant application program in the recommended application program list is recommended to the user device through the recommendation module. 12. The interactive recommendation system as claimed in claim 11, wherein the relativity is calculated by the ranking module according to a similarity to the subsidiary request, a number of downloaded times, a user evaluation, an advertising sponsorship, or the combination thereof. 13. The interactive recommendation system as claimed in claim 9, wherein the interactive recommendation system further comprises a collecting module, and the collecting module is in communication with the Internet and the interaction module, wherein the collecting module collects at least one information about at least one behavior that is operated through the user device. 14. The interactive recommendation system as claimed in claim 13, wherein the at least one information includes a search action, a click action, a use time duration or the combination thereof. 15. The interactive recommendation system as claimed in claim 13, wherein after the at least one information from the at least one behavior of users with a similar request is analyzed, acquired and merged into a common behavior, the at least one subsidiary request is acquired. 16. The interactive recommendation system as claimed in claim 9, wherein after the user device responds to the interactive request by issuing a confirmation message to a server, the recommendation module recommends the at least one application program in the recommended application program list to the user device.