A Study on the Method of Mobile Content Recommendation Based on Situations
- Resource Type
- Conference
- Authors
- Zhang, Yu; Cai, Shuqin; Hu, Muhai; Liang, Feng
- Source
- 2010 International Symposium on Computational Intelligence and Design Computational Intelligence and Design (ISCID), 2010 International Symposium on. 2:23-26 Oct, 2010
- Subject
- Computing and Processing
Context
Lattices
Mobile communication
Ontologies
Semantics
Association rules
Context modeling
situation
context
ontology
frequent marked lattice
rule
mobile content recommendation
- Language
In existing mobile content service systems, the study is quite rare on automatic situation-service rule construction. Hence, a method is proposed that the semantic association rules between situations and preferences are built by quantitative frequent marked lattice. Different recommendation rules can be extracted along multi-dimensional context routes from this lattice structure. It is propitious to solve the problems of rule collisions and availability of context data. The algorithm is studied for frequent marked lattice construction and the priority is designed for rule extraction. Finally, the advantage and feasibility of the proposed method is demonstrated by a calculating instance.