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- 227 creator amit-sheth.
- 227 creator chitra-venkataramani.
- 227 creator pavan-kapanipathi.
- 227 creator prateek-jain.
- 227 type InProceedings.
- 227 label "User Interests Identification on Twitter Using a Hierarchical Knowledge Base".
- 227 sameAs 227.
- 227 abstract "Twitter, due to its massive growth as a social networking platform has been in focus to analyze its user generated content for personalization and recommendation tasks. A common challenge across these tasks is identifying user interests from tweets. Lately, semantic enrichment of Twitter posts to determine (entity-based) user interests has been an active area of research. The advantages of these approaches include interoperability, information reuse and the availability of knowledge-bases to be exploited. However, exploiting these knowledge bases for identifying user interests still remains a challenge. In this work, we focus on exploiting hierarchical relationships present in knowledge-bases to infer richer user interests expressed as \textit{Hierarchical Interest Graph}. We argue that the hierarchical semantics of concepts can enhance the existing systems to personalize or recommend items based on varied level of conceptual abstractness. We demonstrate the effectiveness of our approach through a user study which shows an average of approximately eight of the top ten weighted hierarchical interests in the graph being relevant to a given user's interests.".
- 227 hasAuthorList authorList.
- 227 isPartOf proceedings.
- 227 keyword "Hierarchical Interest Graph".
- 227 keyword "Personalization".
- 227 keyword "Semantic Web".
- 227 keyword "Twitter".
- 227 keyword "User Profile".
- 227 keyword "Wikipedia".
- 227 title "User Interests Identification on Twitter Using a Hierarchical Knowledge Base".