| 摘要 |
The invention relates to a search engine ranking method based on user participation and belongs to the technical field of software. The method is based on a search engine ranking system and a user can express approval, like, disapproval, opposition and other opinions on a display list of search results and perform scoring on all of information and search results; and according to score values of the search results, in next search of the results, the results will be automatically ranked according to the score values, the results with high scores will be ranked ahead and a program for preventing malicious scoring is set. A system established for implementing the method comprises users, the search engine ranking system, a model processing system and an output system. By adopting the method of the invention, the user participation can be strengthened, the expression of the opinions can be performed on the search information and other users can take the opinions as references, thereby effectively improving search quality, facilitating the selection of the users by referring to the opinions, further effectively reducing search time of the users and improving handling efficiency and capability of learning information. |
| 主权项 |
1. A search engine ranking method based on user participation, characterized in that the method is based on a search engine ranking system and a user can express approval, like, disapproval, opposition and other opinions on a display list of search results and perform scoring on all of information and search results; and according to score values of the search results, in next search of the results, the results will be automatically ranked according to the score values, the results with high scores will be ranked ahead and a program for preventing malicious scoring is set; and a system for implementing the method comprises users, the search engine ranking system, a model processing system and an output system, wherein
(1) the users are divided into registered users and non-registered users, personalized services are mainly targeted at the registered users and the non-registered users have a function of search engine ranking; (2) the search engine ranking system adopts the method based on the user participation, belongs to completely personalized search engine ranking and provides the personalized services for the users; the search engine ranking system is used for managing website information, user registration information, scores and other data as well as the search engine ranking method, a search engine ranking model, the search engine ranking results and other contents; the system comprises two parts, namely an online real-time search engine ranking part and a model processing part; online is for the access users and the model processing is performed in a non-real-time manner; the search engine ranking system is applicable to general websites, user personal information is acquired according to the user registration information and a list of contents of interest is predicted according to the evaluations of the user on the different display lists; and after the user selects a display list of the search results, the user can express approval, like, disapproval, opposition and other opinions according to a series of information of the user; (3) the model processing system is mainly used for processing the data according to the search engine ranking method to obtain the model, and when a user browses a web page, the online search engine ranking can output a search engine ranking list in the real-time manner according to the results of the model and feed back the search engine ranking list to the user; the online search engine ranking part can execute different search engine ranking strategies according to different situations; and particularly, by adopting different search engine ranking methods for new users, a cold start problem is solved to a certain extent and the quality of search engine ranking is improved; and (4) an input and output system: the personalized search engine ranking system has the main functions of collecting user information, the website information and website evaluation information and providing the search engine ranking list for the user by model processing. |
