Group Recommender Systems in Tourism: From Predictions to Decisions
نویسنده
چکیده
Recommender systems help users to identify goods or services— typically by offering suitable items from a broad range of alternatives. They have successfully spread into many domains. Tourism is a domain that has a huge potential for simplifying selections and decisions (e.g., on destinations; on itineraries; on accommodation; on cultural activities). In this position paper I discuss how groups of tourists can benefit from group recommender systems and give some examples.
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تاریخ انتشار 2017