Seda Ozmutlu, Huseyin C. Ozmutlu and Buket Buyuk
One of the most important dimensions of search engine user information seeking behaviour is content‐based behaviour. One of the main elements in developing a personalised…
Abstract
Purpose
One of the most important dimensions of search engine user information seeking behaviour is content‐based behaviour. One of the main elements in developing a personalised intelligent search engine is new topic identification. The purpose of this study is to perform automatic new topic identification in search engine transaction logs using conditional probabilities of new topic arrivals.
Design/methodology/approach
Sample data logs from FAST (currently owned by Yahoo!) and Excite (currently owned by IAC Search & Media) are used in the study. Conditional probabilities of new topic arrivals and topic continuations given query category are used to estimate new topic arrivals.
Findings
The findings of this study show that the conditional probability approach reduced overestimation of topic shifts, increasing some performance measures to their highest ever value compared to previous studies. A straightforward procedure such as the conditional probability approach can be as successful as, and for some measures more successful than, more complex methods applied in previous automatic new topic identification studies.
Originality/value
A straightforward procedure that can enable fast automatic new topic identification, a problem not yet solved, and an important step towards personalised search engines.
Details
Keywords
Buket Candan and Emre Şahin Dölarslan
Tourists' environmentally responsible behaviour (ERB) is very important for the environmental sustainability of popular tourist destinations. The main purpose of this research…
Abstract
Purpose
Tourists' environmentally responsible behaviour (ERB) is very important for the environmental sustainability of popular tourist destinations. The main purpose of this research paper is to explore the relationship between environmental citizenship behaviour (ECB) and trust in local government with ERB.
Design/methodology/approach
A theoretical model was proposed and tested. Data were collected from domestic tourists (n = 555) visiting Antalya, on the Mediterranean coast of Turkey.
Findings
The results show that all dimensions of ECB (helping, engagement and initiatives) have a positive effect on the formation of ERB among domestic tourists. The results also show that trust in the local government of the destination has a moderating effect on the relationship between the two dimensions of ECB (engagement and initiatives) and ERB. The helping dimension of ECB has the highest positive impact factor on ERB. The results provide a comprehensive framework for further research. The proposed model is strongly supported by the findings.
Practical implications
Local policy makers can focus on how to increase the environmental motivation of domestic tourists. Environmentally friendly projects can be developed to attract their attention. This will ensure that they take more responsibility for the environment at the destination.
Originality/value
Understanding the potential impact of local government on tourist behaviour is crucial for sustainability. However, there are few studies that directly examine the moderating effect of trust in local government on the relationship between ECB and ERB. This study addresses this gap and makes novel contributions to the relevant literature.