Based On The College Students’ Online Shopping Experience Search Engine Model Research

With the era of big data, massive doubling the amount of information the Internet, search engines can provide users with a mass of information quickly to find the entrance. After two phases with the concept of search engine optimization which intent to the site content optimization, external links and the linked site optimized, the searcher experience optimization period comes. Searchers experience optimization is not more limited to traditional search engine optimized website content sorting optimization to make the site ranking, emphasizes the concept of self-marketing website. Searchers begun to focus on website optimization experience with friendly ease of use, emphasizing the user experience and interaction design from the perspective of rethinking the true meaning of the search engines, and the effective data suggest that college students own a large proportion in China’s online shopping population, while they has obvious similarities in behavioral and psychological. Research on college-based online shopping search experience optimized which have a certain sense of background and meaning. College student searcher experience optimization model aim at explore and improve the pain point which encountered during their online shopping search process.Through the qualitative analysis and quantitative analysis for the college students’ online shopping behavior and mental model, their online shopping experience fact and searching characteristic can be found. College students in the online shopping process with the following characteristics: First, focus on product quality and reasonable price; Second, a certain brand loyalty; Third, a strong sense of purpose purchase; Fourth, friendly suggested buying process can play a role in certain influence. Students in the online shopping search experience with the following characteristics: First, the selective use of search engines; Second, affected by social media obviously; third, the demand for mobile search increasing; fourth, the demand for localized search increasing; fifth, search experience is expecting for fun and entertaining; sixth, highly searching precision does not mean satisfied to the search results.At the same time, form the quantitative analysis on search experience influence factors can find that a detail classification, tag recommendation, popular word thesaurus, fast display, similarity search recommendation, quickly search would bring an new model to solve the main problem and improve the online shopping experience with interaction design.Modern search engine development and its competitive Analysis shows that the search engine is still facing a single information retrieval methods, there is a contradiction between the accuracy of information retrieval and feedback efficiency, excessive classification will lead to site information while excessive simplify cannot effectively guide the user to enter the correct search, the gap between web banners and search terms will lead to low search effect. These would hinder the expression of user’s truth need.Including, improve search engine’s ability on understanding user’s deepest search motivation of online shopping, as improve understanding user search keyword which input in the search box, and this is main point to optimize college students’ online shopping experience. Building an effective interaction guiding search system have more feasible mean to solve the search engine technology gap. This system based on user’s individual information collection, streamlining the model structure, friendly user interface optimization, which combined with college students’inline shopping experience searching experience. From that the searching experience optimization model would complete.