Coupled Optimization Algorithm of Intelligent Recommendation Model Based on Computer Natural Language Processing

Authors

  • Dianqing Bao School of Mathematics and Information Engineering, Lianyungang Normal University, Lianyungang 222000, Jiangsu, China
  • Wen Su School of Information Engineering, Lianyungang Technical College, Lianyungang 222000, Jiangsu, China

Abstract


To address the issues of fragmented semantic representation of items and the difficulty of capturing dynamic user interests in traditional recommendation models, this paper proposes a coupling optimization algorithm for intelligent recommendation models based on natural language processing (NLP). A heterogeneous multi-source, information-deep, semantic-unified representation module is constructed, integrating knowledge graph embedding and a Bi-LSTM (Bidirectional Long Short-Term Memory) model to combine structured and unstructured item information. A time-aware user dynamic interest coupling modeling module is designed, using GRU (Gated Recurrent Unit) sequence encoding to capture behavioral temporal dependencies and combining an interest-semantic coupling attention mechanism to dynamically track interest evolution. A multi-objective collaborative adversarial coupling optimization module is introduced toachieve multi-objective collaborative optimization. Experiments show that the proposed model achieves 0.937 on Recall@20 and 0.959 on NDCG@20 (Normalized Discounted Cumulative Gain); the intra-list similarity is as low as 0.25, and the coverage
reaches 0.934.

Keywords: computer natural language processing, intelligent recommendation models, coupling optimization, dynamic interest coupling, deep semantic unification

Cite As

D. Bao, W. Su, "Coupled Optimization Algorithm of Intelligent Recommendation Model Based on Computer Natural Language Processing", Engineering Intelligent Systems, vol. 34 no. 4, pp. 469-481, 2026.

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Published

2026-07-01

Issue

Vol. 34 No. 4 (2026): International Journal of Engineering Intelligent Systems

Section

Article

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