Group Feature Aggregation for Web Service Recommendations

Increasingly low barriers to Internet applications allow a large number of ordinary users to become developers or users of Web services. However, confronted with massive services and complex application scenarios, users often struggle to filter out satisfactory services, in fact, even professional u...

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Veröffentlicht in:	IEEE eTransactions on network and service management 2024-08, p.1-1
Hauptverfasser:	Xiao, Yong, Liu, Jianxun, Kang, Guosheng, Cao, Buqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Aggregates Dual-attention mechanism Group feature aggregation Interviews Low-quality requirement description Matrix decomposition NAFM Predictive models Service recommendation Task analysis Web services
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