作　　者： ; ; ; ; (莫天池）; (何成琪）;

机构地区： 中南大学软件学院

出　　处： 《计算技术与自动化》 2014年第1期1-9,共9页

摘　　要： 首先对社交网络相关机制应用于搜索引擎的研究背景做简单陈述,然后对现有社交化搜索算法按照应用环境的不同进行分类综述与分析,总结其优势、不足以及影响因素。进而提出限制社交化搜索研究发展的主要原因,展望未来开展社交化搜索的相关研究时应当重点关注的方向,着重讨论利用个性化推荐系统连结社交网络与搜索引擎的思想,以及搜索引擎合法获取社交数据的可行的模式。 First,this paper gives a brief summary of the background of researches on the combination of social networ-king and search engine.Then,current algorithms of social search were roughly introduced and classified according to differ-ent application environments.This paper analyzes advantages,disadvantages and major influence factors of each algo-rithm. After that,the main reasons for the limitation of the research on social search were pointed out.At last,the points which should be focused on in future research were discussed,especially the thought of connecting the search engine and social net-working with personalized recommendation system,and the feasible patterns which can be followed by search engine to get the social data legally.

关 键 词： 搜索引擎 社交网络 社交化搜索 个性化搜索

领　　域： [自动化与计算机技术]