MEASURING THE RELIABILITY OF RANKING IN INFORMATION RETRIEVAL SYSTEMS EVALUATION
نویسندگان
چکیده
منابع مشابه
structural investigation of websites’ ranking systems in view of information retrieval
for years, search engines have been considered as one of the most frequently used information seeking tools through the web. efficiency, ease of use and search quality are the main factors for giving precedence over search engines. search quality is assessed based on the concept of page rank which is applied to scoring web documents. the structures designed for linkage among the pages of a site...
متن کاملEvaluation of Information Retrieval Systems
One of the challenges of modern information retrieval is to adequately evaluate Information Retrieval System (IRS) in order to estimate future performance in a specified application domain. Since there are many algorithms in literature the decision to select one for usage depends mostly on the evaluation of the systems’ performance in the domain. This paper presents how visual and scalar evalua...
متن کاملMeasuring the effectiveness of human resource information systems in national iranian oil company an empirical assessment
While the growth of MIS investment and its influence is making MIS evaluation ever more indispensable, little attention has been paid to assessing and communicating system effectiveness. This paper attempts to empirically assess the effectiveness of integrated human resource information system in Iranian oil industry. As suggested by recent research, the widely accepted IS success model is...
متن کاملAutomatic ranking of information retrieval systems using data fusion
Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, we employ new methods for automatic ranking of retrieval systems. In these methods, we merge the retrieval results of multiple systems using various data fusion algorithms, use the top-ranked documents in the merged res...
متن کاملLiving Ranking: from Online to Real-time Information Retrieval Evaluation
The Living Labs for Information Retrieval Evaluation (LL4IR) initiative have provided a novel framework for evaluating retrieval models that involve real users. In this position paper, we propose an extension to the LL4IR framework that enables to evaluate real-time IR.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Malaysian Journal of Computer Science
سال: 2019
ISSN: 0127-9084
DOI: 10.22452/mjcs.vol32no4.1