Adaptive weighting approach to context-sensitive retrieval model

作者：Wang Xiaochun^*; Yang Muyun; Qi Haoliang; Li Sheng; Zhao Tiejun

来源：8th Asia Information Retrieval Societies Conference, AIRS 2012, 2012-12-17 to 2012-12-19.

DOI：10.1007/978-3-642-35341-3_37

• Adaptive weighting
• Adaptive weights
• Baseline methods
• Context
• Context information
• Context-sensitive
• Context-sensitive retrieval
• Contextual information
• Data sets
• Interaction data
• Performance gaps

To best exploit the context information for meaningful hints to the user's intent, this paper proposes an adaptive weighting approach to improve the current context-sensitive retrieval model. The potential for adaptability is first investigated as the performance gap between the current context-sensitive models with a fixed form weight and those with adaptive weights for contextual information. Then the proper context weight is predicated according to the relation strength between the query and its context. The experimental results on a public available dataset indicate that the proposed approach outperforms three baseline methods.

• 出版日期2012