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Subject: Computer Science (provided by Thomson Reuters)
Title:
基于贝叶斯推理的点击模型及其实现
Alternative Title: click model based on bayesian inference and its implementation
Author: 孙付伟 ; 李娟 ; 杨达
Keyword: 点击日志 ; 点击模型 ; 贝叶斯推理 ; 搜索引擎 ; 日志分析
Source: 计算机应用与软件
Issued Date: 2013
Volume: 30, Issue:1, Pages:7-10
Indexed Type: CNKI ; WANFANG ; CSCD
Department: 中国科学院软件研究所基础软件国家研究中心;中国科学院研究生院;
Sponsorship: 国家自然科学基金项目(60903050,61100071)|国家重点基础研究发展计划基金(2007CB310802)|国家重大科技专项经费资助项目(2010ZX01036-001-002,2010ZX01037-001-002)
Abstract: 为能更好地解释搜索引擎和商务搜索的点击日志中的用户行为,实现一种用于分析日志中包含的用户行为的贝叶斯点击模型。通过分析中国最大电子商务网站的约927万条用户搜索点击日志数据,发现一个的文档的点击是受其上下位置点击过的文档共同影响的,然后基于此发现提出并实现一种新的基于贝叶斯推理的点击模型,并给出并行版本的算法实现。最后通过利用来自用户搜索的一个月日志数据验证,结果表明该模型优于现有的点击模型。
English Abstract: In order to better explain user behaviour from click logs in search engine or sponsored search, we implement a Bayesian click model for analysing user behaviours included in logs. By analysing about 9.27 million click log data collected from a largest e-commerce site of China, there finds that the click probability of a document is affected by the clicked documents above and below it. Then we propose and implement a new click model based on Bayesian inference according to the phenomenon found, together with the implementation of an algorithm in parallel version. At last, we validate the model through a log data set collected about a mouth from user search, and the result shows that the proposed model outperforms existing click models.
Language: 中文
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Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/15238
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
孙付伟,李娟,杨达. 基于贝叶斯推理的点击模型及其实现[J]. 计算机应用与软件,2013-01-01,30(1):7-10.
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