Algorithms Research And System Design On User-oriented Personalized Search Engine

Search engine technology has been one of the most popular Internet applications in recentyears. It is an important way for people to obtain information resources and people are in-creasingly dependent on the search engine to get the information what they are concerned.However, the widely used search engines in current can not accurately understand the user’sintent. Queries from different users often return to the same search results, rather than the u s-er-oriented results. Users have to spend so much time and energy to select satisfactory infor-mation from the plenty of results. Therefore, the user-oriented personalized search is becom-ing the spotlight of the search engine technology. Besides, as the core of the search enginetechnology, the sorting algorithm is directly related to the final experience of users and thequality of search engine system. And it is the focus study object of this paper.Firstly, we discussed and analyzed the principle of search engine and the researches of per-sonalized search engine. And we get the main point of the personalized search engine r e-search.Secondly, the user model is the main point to realize personalized search engine system,and it is meaningful to find the satisfactory results for users. Therefore, we designed a newuser model suitable for this paper after analyzed the theories and methods of establishing auser model.Moreover, we proposed a new sorting algorithm based on BP neural network model afterthe analysis of the advantages and disadvantages of traditional search engine algorithms. Thealgorithm used the neural network’s pattern recognition capability and combined the user’sinterest effectively to make search results more in line with the user’s search request.Finally, we conducted some experiments to verify the effectiveness of the algorithm. Be-sides, a system based on the theories of this paper is designed and implemented. It powerfullyproves the feasibility of the algorithm.The research of this paper effectively analyzes the practical problems of the personalizedsearch engine, and it has certain reference value and actual application value for personalizedsearch engine research.