Using Collective Intelligence to Generate Trend-based Travel Recommendations

Schlick S, Eigner I, Fechner A (2015)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2015

Pages Range: 177-185

Conference Proceedings Title: Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Event location: Marriott Lisbon Hotel, Lissabon PT

ISBN: 978-989-758-158-8

DOI: 10.5220/0005582201770185

Abstract

Trips are multifaceted, complex products which cannot be tested in advance due to their geographical distance. Hence, making a travel decision people often ask others for advice. This leads to an increasing importance of communities. Within communities people share their experiences, which results in new, more extensive knowledge beyond the individual knowledge of each member. The objective of this paper is to use this knowledge by developing an algorithm that automatically generates trend-based travel recommendations. Based on the travel experiences of the community members, interesting travel areas are identified. Five key figures to evaluate these areas according to general criteria and the users' individual preferences are developed. The algorithm allows to generate recommendations for the whole community and not only for highly active members, resulting in a high coverage. A study conducted within an online travel community shows that automatically generated, trend-based trip recommendations are rated better than user-generated recommendations.

Authors with CRIS profile

Sabine Schlick Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich Isabella Eigner Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich Alex Fechner Institute of Manufacturing Technology (LFT)

How to cite

APA:

Schlick, S., Eigner, I., & Fechner, A. (2015). Using Collective Intelligence to Generate Trend-based Travel Recommendations. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 177-185). Marriott Lisbon Hotel, Lissabon, PT.

MLA:

Schlick, Sabine, Isabella Eigner, and Alex Fechner. "Using Collective Intelligence to Generate Trend-based Travel Recommendations." Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Marriott Lisbon Hotel, Lissabon 2015. 177-185.

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