中文摘要：

提出了一种对象级搜索中领域无关的对象排序模型.给定对象集合以及对象间的关系,根据用户输入的对象查询,该模型按照对象与查询的相关度输出一个对象的排序表.采用一个多平面的图表示对象级搜索的空间,并基于该图分别提出了对象流行度评估算法、根据查询计算相关度的算法,以及合并多个对象查询的算法.针对ACM数据集上的实验结果表明该算法是有效的,在论文推荐与合并多对象查询方面,均取得了比PaperRank更好的结果.

英文摘要：

This paper proposes a novel domain-independent object-level ranking model. Given a set of objects and their relationships,this model provides a ranked list of objects based on their relevance to multiple query objects supplied by the user. We present a multi-plane object relationship graph to describe the space of object-level search,an algorithm for evaluating the popularity values of objects based on the object relationship graph,and an algorithm for evaluating the relevance ratings of objects based on th...