A study on personalized recommender system in e-commerce based on ant colony

A study on personalized recommender system in e-commerce based on ant colony

This paper proposed the combination of existing Ant Colony Algorithm and the recommendation algorithm. And it introduced the concept of pheromones and volatile in Ant Colony Algorithm. Combines the browsing behavior and the preferences of similar user in recommended process, and calculate the score...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Cao, Ruixin, Zhao, Shouxiang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Information networks
Marketing computing
Optimisation techniques
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Beschreibung
Zusammenfassung:This paper proposed the combination of existing Ant Colony Algorithm and the recommendation algorithm. And it introduced the concept of pheromones and volatile in Ant Colony Algorithm. Combines the browsing behavior and the preferences of similar user in recommended process, and calculate the score of each page. And proposed the solutions of specific problems when the algorithm applying in recommender system.
DOI:10.1049/cp.2011.1445