Knowledge Graph Construction and Personalized Recommendation in Clothing Domain
Knowledge graph,as an effective auxiliary class of information in hybrid recommendation,has received a great deal of attention from scholars in recent years.The article takes apparel matching as the entry point,mines the data content from the perspective of knowledge association,aligns and disambiguates the entity attributes through knowledge fusion technology,and thus constructs the apparel knowledge graph.The data is also used to support the construction of clothing knowledge map for clothing rec-ommendation,and the recommendation effect is evaluated.The results show that the recommendation system based on apparel knowledge map can achieve better recommendation effect than traditional apparel recommendation,and its recommended apparel products are more diversified and the apparel matching is also more extensive.
国家科技期刊平台
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