吉林大学学报（理学版）2016，Vol.54Issue(4)：821-826,6.DOI:10.13413/j.cnki.jdxblxb.2016.04.26
基于 LambdaMART 的个性化搜索检索模型
Personalized Search and Retrieval Model Based on LambdaMART
摘要
Abstract
In view of the problem that how to add the personalized information to the search result ranking,we proposed a method based on decision tree to quantify the user’s personalized information. According to the user’s search keywords and user’s personalized information,the method predicted the user’s search intention,and fused the predicted results in ranking results.It can effectively solve the defect of traditional retrieval model by adding user’s personalization information. The experimental results show that accuracy of the ranking results is significantly improved after adding the personalized information,thereby improving the user’s experience of the search engine.关键词
决策树/增强树/搜索引擎/个性化搜索Key words
decision tree/adaboost decision tree/search engine/personalized search分类
信息技术与安全科学引用本文复制引用
金众威,刘淑芬,包铁..基于 LambdaMART 的个性化搜索检索模型[J].吉林大学学报（理学版）,2016,54(4):821-826,6.基金项目
国家自然科学基金(批准号:61472160)和国家科技支撑计划项目(批准号:2014BAH29F03) （批准号:61472160）
