An Approach to Modelling User Interests Using TF-IDF and Fuzzy Sets Qualitative Comparative Analysis
| Autor: | Kostas Bithas, Ilias Petrounias, Stavroula Barbounaki, Dimitris Kardaras, Stavros Kaperonis |
|---|---|
| Přispěvatelé: | Athens University of Economics and Business (AUEB), Panteion University [Athens], National merchant marine academy of Aspropyrgos, University of Manchester [Manchester], Lazaros Iliadis, Ilias Maglogiannis, Vassilis Plagianakos, TC 12, WG 12.5 |
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Qualitative comparative analysis Computer science Fuzzy sets Qualitative Comparative Analysis IDF 05 social sciences Fuzzy set User-generated content 02 engineering and technology Recommender system Data science Personalization 0502 economics and business 0202 electrical engineering electronic engineering information engineering Profiling (information science) [INFO]Computer Science [cs] 020201 artificial intelligence & image processing tf–idf User interests TF Tourism |
| Zdroj: | IFIP Advances in Information and Communication Technology ISBN: 9783319920061 AIAI IFIP Advances in Information and Communication Technology 14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) 14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece. pp.606-615, ⟨10.1007/978-3-319-92007-8_51⟩ |
| DOI: | 10.1007/978-3-319-92007-8_51 |
| Popis: | Part 12: Fuzzy; International audience; Modelling and understanding user interests are particularly important tasks for designing services and building systems for customized solutions in web personalization and recommender systems. User generated content (UGC) constitutes a significant source of information for capturing user interests. This paper, suggests an approach to user profiling that analyses the Term Frequency (TF) and the Inverse Document Frequency (IDF) of selected tourism services by utilising the Fuzzy set Qualitative Comparative Analysis (FsQCA). It analyses a sample of customer reviews that are collected from tourism web sites. This paper considers the amount of money that customers spent during their hotel stay, as the outcome set in the FsQCA analysis. The results produce causal combinations of services that are necessary and sufficient for building customer interests models that best lead to the outcome and argue for the applicability of the FsQCA in modelling user interests. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|