Design And Implementation Of The Intelligent Recruitment System For Postgraduate Enrollment Consultation Based On ALICE

In the age of rapid development of computer network, the network information is growing exponentially. People need the information they need, hope can be found quickly and accurately on the network. The existing information retrieval methods can not meet the needs of people for information. These retrieval methods are based on key words. In order to meet the needs of rapid and accurate access to information, intelligent chat system is gradually developed.Based on the analysis of college graduate admissions counseling problems, the design and development of intelligent chat system. First of all, the intelligent chat system involves the theoretical knowledge and technical analysis. Then decided to outstanding Alice as a reference to the Alice system source code for writing again improved; secondly, for the Alice system supports only defects in France, Germany and the UK database made decision in the Alice system embedded Chinese word segmentation module. Through the analysis and comparison of the existing various Chinese word segmentation algorithms, we decide to use the dictionary based Chinese word segmentation algorithm with the best comprehensive performance as the theoretical support of this system. For this algorithm in the process of system design and its improvement; finally, through the use of JAVA EE technology, development and design of intelligent chat system based on B / S.In this paper, we propose a method to navigate getting a correct answer for Question Answering(QA) system using user interaction. QA is a technology which extracts appropriate answer strings for a given question sentence from huge documents such as Web, newspaper articles etc. If a given question is ambiguous, answers will be various ones according to its possible understandings and retrieved documents with query words of the question sentence will consists of various types of information. In order to focus on intended topic, it is necessary to provide more information to narrow down search area for a question. In our approach, a QA system selects a clue word to decide an appropriate topic from topics in retrieved documents and interacts with a user whether this clue word is appropriate one or not. Then, search space will be reduced using this clue word. However, such narrowing down reduces the number of answer candidates because the number of target documents will be decreased. The specific question answering system in specific fields, such a system will not only answer the compact and accurate answer.The graduate admissions counseling intelligent chat system, can be implanted in corpus of students or teachers frequently asked or frequently encountered, it can answer with the most common questions about enrollment, students and teachers and other users can quickly get to know the information. This reduces the admissions teacher one answering the exchange cost, but also improve the efficiency and quality. At the same time, the system will be based on the user often asked questions, some related topics such as school recommendation, specialty, scientific research supervisor. Users of the theme of a more in-depth understanding, there is also a full publicity to the school.