The aim of this paper is to conceptualize the significance of location based user generated content in creating superior value to aid travellers in their decision making regarding traveling products and services. A comprehensive review of latest conceptual and empirical literature was grounded to develop the propositions. Millennial generation of Malaysia shall be taken as a social lab for examining the propositions, and to report the empirical findings. The finding of this study provides a basis for developing a model to obtain the significance of location base user generated content on travel decisions. This study could be of practical value for organizations and highlighted the importance of participatory user generated content as well as significant for travellers who want to improve on-travel decisions accuracy. This study suggested a special focus on millennials in Malaysia since they are considered as a potential cluster of markets. This paper makes a significant contribution by.....

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The contextual suggestion systems are emerging as modified recommendation systems integrated with information retrieval techniques to search within large databases with the purpose to provide a user with a list of suggestions based on context i.e. location, time of the day, any day of the week (weekdays or weekend). The goal of this research is to conduct a systematic review in the field of contextual suggestion and recommendation systems incorporate with smart cities as the repositories of large datasets. This paper highlights the concerns linked with approaches being used in the contextual suggestion system and discussing various approaches which are being utilized in the contextual suggestion system. The keywords for query searching include; “contextual suggestion”, “recommendation system” and “smart city” which identified 191 papers published from 2012 to 2020. Four major article repositories were considered for searching (i) Science Direct, (ii) Scopus, (iii) IEEE, and.....

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The contextual suggestion system is defined as “generating a list of venues for a user, based on temporal and geographical context as well as traveller’s preferences relating to venues to be suggested”. A lack of effective methodologies has compromised the accuracy of the contextual suggestion system in e-tourism. In this regard, the Text Retrieval Conference (TREC) has been organized yearly to focus not only on the development of information retrieval systems but also on the approaches leading to the improvement of the systems. Besides, TREC provides datasets and standard protocols for evaluation to ensure fair comparisons. In the study, an improved approach based on four main phases has been proposed for the contextual suggestion system in e-tourism, namely, (i) Dataset Enrichment, (ii) Profile Enrichment, (iii) User Modelling, and (iv) Ranking Suggestion. The TREC dataset is used to evaluate the proposed approach. In the Dataset Enrichment’s improvement, tags pred.....

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