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- articleApril 2019
Reliable TF-based recommender system for capturing complex correlations among contexts
Journal of Intelligent Information Systems (JIIS), Volume 52, Issue 2April 2019, Pages 337–365https://doi.org/10.1007/s10844-018-0514-7Context-aware recommender systems (CARS) exploit multiple contexts to improve user experience in embracing new information and services. Tensor factorization (TF), a type of latent factor model, has achieved remarkable performance in CARS. TF learns ...
- research-articleApril 2015
Keyword-based mobile semantic search using mobile ontology
Journal of Information Science (JIPP), Volume 41, Issue 2April 2015, Pages 178–196https://doi.org/10.1177/0165551514560669A large volume of mobile data is being generated and shared among mobile devices such as smartphones. Most of the mobile platforms provide a user with a keyword-based full text search FTS in order to search for mobile data. However, FTS only returns the ...
- ArticleJuly 2014
Keyword Based Semantic Search for Mobile Data
MDM '14: Proceedings of the 2014 IEEE 15th International Conference on Mobile Data Management - Volume 01July 2014, Pages 245–248https://doi.org/10.1109/MDM.2014.36Most of the mobile platforms provide a keyword based full text search (FTS) for users to find what they want. However, FTS has difficulties in dealing with the cases where a user cannot remember the exact keywords about target data or the number of ...
- posterApril 2014
Semantically enhanced keyword search for smartphones
WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide WebApril 2014, Pages 327–328https://doi.org/10.1145/2567948.2577331To apply semantic search to smartphones, we propose an efficient semantic search method based on a lightweight mobile ontology. Through a prototype implementation of a semantic search engine on an android smartphone, experimental results show that the ...
- ArticleNovember 2013
Augmenting Mobile Search Engine with Semantic Web and Context Awareness
- Sangjin Shin,
- Dong-Hoon Shin,
- Jihoon Ko,
- Minjae Song,
- Sungkwang Eom,
- Kyong-Ho Lee,
- Jinsung Park,
- Seungwon Lee,
- Jooyeon Jung
WI-IAT '13: Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 03November 2013, Pages 278–279https://doi.org/10.1109/WI-IAT.2013.196This paper proposes a mobile search engine for smart devices, which effectively augments the result of local semantic search with useful Web information according to the intent and context of a mobile user. To support an intuitive query, we employ the ...