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Relevance Feedback and Deep Neural Network-Based Semantic Method for Query Expansion
2022
Wireless Communications and Mobile Computing
Machine learning techniques have been widely used in almost every area of arts, science, and technology for the last two decades. Document analysis and query expansion also use machine learning techniques at a broad scale for information retrieval tasks. The state-of-the-art models like the Bo1 model, Bo2 model, KL divergence model, and chi-square model are probabilistic, and they work on DFR-based retrieval models. These models are much focused on term frequency and do not care about the
doi:10.1155/2022/6789044
fatcat:2k2kf2mhlzfwteoqevahpkhp6i