کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5110720 1483183 2018 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessing web sites quality: A systematic literature review by text and association rules mining
ترجمه فارسی عنوان
ارزیابی کیفیت وب سایت: بررسی ادبیات منظم توسط متن و استخراج قوانین ارتباط
کلمات کلیدی
ارزیابی وب سایت ها؛ تصمیم گیری چند معیار؛ استخراج متن؛ استخراج قوانین ارتباط؛ بررسی ادبیات سیستماتیک
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری سیستم های اطلاعات مدیریت (MIS)
چکیده انگلیسی
Nowadays society is deeply affected by web content. A web site, regardless of its category, can provide or not for users their needs. To identify its strengths and weaknesses, a process of analyzing and assessing its quality, via some criteria, is necessary. Assessing web sites is considered as a Multiple Criteria Decision Making problem (MCDM), with a massive number of criteria; a reduction phase is needed. This paper presents, firstly a Systematic Literature Review (SLR) to identify the purposes of recent researches from the assessment and determine the affected categories; secondly, it proposes a process of collecting and extracting data (criteria featuring web sites) from a list of studies. Text mining is applied for this SLR to construct a dataset. Then, a method based on Apriori algorithm is assigned and implemented to find association rules between criteria and the category of the web site, and to get a set of frequent criteria. This paper also presents a review on soft computing assessing methods. It aims to help the research community to have a scope in existing research and to derive future developments. The obtained results motivate us to further probe datasets and association rule mining.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Information Management - Volume 38, Issue 1, February 2018, Pages 201-216
نویسندگان
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