Knowledge-Based Leisure Time Recommendations in Social Networks

TitleKnowledge-Based Leisure Time Recommendations in Social Networks
Publication TypeBook Chapter
Year of Publication2017
AuthorsMargaris D, Vassilakis C, Georgiadis P.
EditorHernandez GAlor, Garcia RValencia
Book TitleCurrent Trends on Knowledge-Based Systems
Series TitleIntelligent Systems Reference Library
ChapterKnowledge-Based Leisure Time Recommendations in Social Networks
Pagination23–48
PublisherSpringer International Publishing
KeywordsAttribute constraints, collaborative filtering, Knowledge-based Recommender Systems, Semantic Information, Social Networks
AbstractWe introduce a novel knowledge-based recommendation algorithm for leisure time information to be used in social networks, which enhances the state-of-the-art in this algorithm category by taking into account (a) qualitative aspects of the recommended places (restaurants, museums, tourist attractions etc.), such as price, service and atmosphere, (b) influencing factors between social network users, (c) the semantic and geographical distance between locations and (d) the semantic categorization of the places to be recommended. The combination of these features leads to more accurate and better user-targeted leisure time recommendations.
DOI10.1007/978-3-319-51905-0_2