Piao, Guangyuan and Breslin, John G (2016) User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations. International Conference on Information and Knowledge Management, Proceedings. pp. 2057-2060.
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Abstract
User modeling of individual users on the Social Web platforms such as Twitter plays a significant role in providing personalized recommendations and filtering interesting information from social streams. Recently, researchers proposed the use of concepts (e.g., DBpedia entities) for representing user interests instead of word-based approaches, since Knowledge Bases such as DBpedia provide cross-domain background knowledge about concepts, and thus can be used for extending user interest profiles. Even so, not all concepts can be covered by a Knowledge Base, especially in the case of microblogging platforms such as Twitter where new concepts/topics emerge everyday. In this short paper, instead of using concepts alone, we propose using synsets from WordNet and concepts from DBpedia for representing user interests. We evaluate our proposed user modeling strategies by comparing them with other bag-of-concepts approaches. The results show that using synsets and concepts together for representing user interests improves the quality of user modeling significantly in the context of link recommendations on Twitter.
| Item Type: | Article |
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| Keywords: | User Modeling; Personalization; User Interest Profiles; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 15645 |
| Identification Number: | https://doi.org/10.1145/2983323.2983908 |
| Depositing User: | Guangyuan Piao |
| Date Deposited: | 08 Mar 2022 16:27 |
| Journal or Publication Title: | International Conference on Information and Knowledge Management, Proceedings |
| Publisher: | ACM Digital Library |
| Refereed: | Yes |
| URI: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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