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Purpose: The aim of this work is to evaluate Greek newspaper websites using clustering and a number of criteria obtained from the Alexa search engine. Furthermore, a recommendation approach is proposed for matching Greek online newspapers with the profiles of potential readers. The paper presents the implementation and validation of a recommender tool that suggests to a user (based on age, education and income) an optional Greek newspaper's website to read. Design/methodology/approach: A total of 25 newspaper websites were selected from the Greek information bank http://edoellada.gr. After investigating these websites one by one, this number was decreased to 16 websites due to their printing prevention, cessation or no coverage by Alexa. Findings: Based on data obtained from Alexa, the "Naftemporiki" newspaper has the highest traffic rank and the "Eleftherotypia" newspaper the largest number of links among others. The "Macedonia" newspaper has the largest number of foreign users. The results of the study also show that most newspaper websites' visitors come from the UK. The expectation-maximisation (EM) clustering algorithm classifies the 16 websites into two groups based on some common characteristics. Research limitations/implications: The proposed recommendation approach is generic because it can be applied as a recommendation solution on various types of website, such as educational or commercial. However, slight adjustments are needed depending on the nature of recommending websites. Practical implications: A website administrator of an online newspaper can adapt the newspaper's features such as content and layout according to the prevailing user profile of the online newspaper. For example, a website administrator of an online newspaper whose dominant user education is "no-college" should enable the writing style of this newspaper in a more naive way. The administrator can also add advertisements that are more suitable to readers aged between 35 and 55 years, if the most frequent age of users of this online newspaper is between 35 and 55. Originality/value: The results of this research will be important not only to administrators of Greek newspaper websites but also to anyone with a need to increase the usage of a website. (Contains 3 figures and 4 tables.)

Purpose – The aim of this work is to evaluate Greek newspaper websites using clustering and a number of criteria obtained from the Alexa search engine. Furthermore, a recommendation approach is proposed for matching Greek online newspapers with the profiles of potential readers. The paper presents the implementation and validation of a recommender tool that suggests to a user (based on age, education and income) an optional Greek newspaper's website to read. Design/methodology/approach – A total of 25 newspaper websites were selected from the Greek information bank http://edoellada.gr. After investigating these websites one by one, this number was decreased to 16 websites due to their printing prevention, cessation or no coverage by Alexa. Findings – Based on data obtained from Alexa, the Naftemporiki newspaper has the highest traffic rank and the Eleftherotypia newspaper the largest number of links among others. The Macedonia newspaper has the largest number of foreign users. The results of the study also show that most newspaper websites' visitors come from the UK. The expectation-maximisation (EM) clustering algorithm classifies the 16 websites into two groups based on some common characteristics. Research limitations/implications – The proposed recommendation approach is generic because it can be applied as a recommendation solution on various types of website, such as educational or commercial. However, slight adjustments are needed depending on the nature of recommending websites. Practical implications – A website administrator of an online newspaper can adapt the newspaper's features such as content and layout according to the prevailing user profile of the online newspaper. For example, a website administrator of an online newspaper whose dominant user education is "no-college" should enable the writing style of this newspaper in a more naive way. The administrator can also add advertisements that are more suitable to readers aged between 35 and 55 years, if the most frequent age of users of this online newspaper is between 35 and 55. Originality/value – The results of this research will be important not only to administrators of Greek newspaper websites but also to anyone with a need to increase the usage of a website. [ABSTRACT FROM AUTHOR]

This article proposes a quantitative evaluation framework of all the dimensions provided by hotel websites. The proposed framework evaluates the richness of specific and comprehensive information. A proposed conceptual model that describes the hotel websites' features is used in order to summarize the data and consider how sound websites are in terms of technology and management. The model combines various dimensions (i.e., information attributes, website design attributes, reservation engine facilities, payment, provided services attributes, provided information attributes, quality of content, language support, website operating attributes, website structure, navigation, and search facilities). The proposed evaluation method is based on the websites evaluation by users/guests, hotel managers, and IT professionals, while it uses principal components analysis (PCA) to estimate the performance score from users/guests, hotel managers, and IT professionals as well the overall score of a website. Using this framework, we determine how each data dimension impacts on each performance indicator as well as on the overall performance. We applied our method and evaluated 30 chain hotel websites operating in Greece, and found interesting insights for the hotel chain industry in Greece. [ABSTRACT FROM PUBLISHER]