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购买者在使用商品搜索服务时所得搜索结果数量不符合其主观要求是一个典型而普遍的矛盾问题.在分析矛盾问题的基础上,提出以可拓策略生成技术改进商品搜索服务的方法.该方法通过对购买者提出的搜索要求进行发散分析及相关分析,以形成各种可能变换,并依据关联函数寻求问题的解变换,以及利用评价函数对解变换进行优选.给出了关于策略生成的基本算法,并实现于笔记本电脑导购网站平台上.实验及测试结果表明,系统能有效生成矛盾问题的解变换,从而改进了搜索服务的质量.
It is a typical and general paradox problem that the number of search results obtained by the purchaser when using the product search service is not in conformity with its subjective requirement.Based on the analysis of the contradiction problem, this paper proposes a method to improve the product search service by using the extension strategy generation technology. Through the divergent analysis and correlation analysis of the search request proposed by the purchaser, various possible transformations are formed, and the solution of the problem transformation is sought according to the correlation function and the solution of the transformation is optimized by using the evaluation function.The basic concepts of strategy generation Algorithm and implement it on the shopping guide platform of laptop computer.Experimental and testing results show that the system can effectively generate the solution of the contradiction problem transformation and improve the quality of the search service.