Tell Me Who You Are and I Will Tell You Where to Go: Use of Travel Personalities in Destination Recommendation Systems

Gretzel, Ulrike; Mitsche, Nicole; Hwang, Yeong‐Hyeon; Fesenmaier, Daniel R.

doi:10.3727/1098305042781129

Cited by 84 publications

(63 citation statements)

References 15 publications

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“…A wide range of personalisation approaches are emerging in the marketplace, including recommender systems (Gretzel, et al, 2004;Minghetti, 2003;Ricci, 2002).…”

Section: Relating Ccm To Traditional Segmentation Practice In Tourismmentioning

confidence: 99%

Customer empowerment in tourism through consumer centric marketing (CCM)

Niininen

Buhalis

March

2007

Qualitative Market Research: An International Journal

111

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Value: CCM will be expected as the norm in the travel industry by customers of the future, yet it is only the innovators who gain real tangible benefits from this development. We outline current and future opportunities to truly place your customer at the centre and provide the organisation with some real savings/gains through the use of ICT Practical Implications: We offer tangible examples for travel industry on how to utilise this new technology. The technology is already available and the ICT companies are keen to establish ways how consumers can utilise it, i.e. by providing 'content' for these ICT products the travel industry can fully gain from these developments and also enhance consumers' gains from it. This can result in more satisfied customers for the travel (as well as ICT) companies thus truly adopting the basic philosophy of marketing

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“…A wide range of personalisation approaches are emerging in the marketplace, including recommender systems (Gretzel, et al, 2004;Minghetti, 2003;Ricci, 2002).…”

Section: Relating Ccm To Traditional Segmentation Practice In Tourismmentioning

confidence: 99%

Customer empowerment in tourism through consumer centric marketing (CCM)

Niininen

Buhalis

March

2007

Qualitative Market Research: An International Journal

111

View full text Add to dashboard Cite

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“…Also, individuals with a tendency to postpone decisions when faced with difficult choices or conflicts have been found to engage in search patterns that are different from those used by individuals who are not indecisive (Ferrari and Dovidio, 2001). Recent recommender system research also suggests that personality is an important factor to consider when providing recommendations (Gretzel, Mitsche, Hwang and Fesenmaier, 2004;Moon, 2002).…”

Section: Personal Characteristics Of the Travelermentioning

confidence: 99%

Informing destination recommender systems design and evaluation through quantitative research

Gretzel

Hwang

Fesenmaier

2012

International Journal of Culture, Tourism and Hospitality Research

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Informing destination recommender systems design and evaluation through quantitative research AbstractPurpose -Destination recommender systems need to become truly human-centric in their design and functionality. This requires a profound understanding of human interactions with technology as well as human behavior related to information search and decision-making in the context of travel and tourism. This paper seeks to review relevant theories that can support the development and evaluation of destination recommender systems and to discuss how quantitative research can inform such theory building and testing. Design/methodology/approach -Based on a review of information search and decision-making literatures, a framework for the development of destination recommender systems is proposed and the implications for the design and evaluation of human-centric recommender systems are discussed. Findings -A variety of factors that influence the information search and processing strategies that influence interactions with a destination recommender system are identified. This reveals a great need for data-driven models to inform recommender system processes. Originality/value -The proposed framework provides a basis for future research and development in the area of destination recommender systems. The paper concludes that the success of a specific destination recommender system will depend largely on its ability to anticipate and respond creatively to transformations in the personal and situational needs of its users. Such system intelligence needs to be based on empirical data analyzed with sophisticated quantitative methods. The importance of recommender systems in tourism marketing is also discussed. Approach: Based upon a review of information search and decision-making literatures, a framework for the development of destination recommender systems is proposed and the implications for the design and evaluation of human-centric recommender systems are discussed.Findings: A variety of factors that influence the information search and processing strategies that influence interactions with a destination recommender system are identified. This reveals a great need for data-driven models to inform recommender system processes.Originality/Value: The proposed framework provides a basis for future research and development in the area of destination recommender systems. The paper concludes that the success of a specific destination recommender system will depend largely on its ability to anticipate and creatively respond to transformations in the personal and situational needs of its users. Such system intelligence needs to be based on empirical data analyzed with sophisticated quantitative methods. The importance of recommender systems in tourism marketing is also discussed.

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“…It has assisted tourism service providers to use many activities in addition to, if not instead of, offline promotions. This is important as the Internet is thought of as a multi-promotion tool, and importantly, as a distribution channel (Gretzel, Mitsche, Hwang, & Fesenmaier, 2004). Web promotion is, therefore, becoming the primary promotional channel (Buhalis, 2003).…”

Section: Related Workmentioning

confidence: 99%