• Collaborative filtering technology reveals a number of bottlenecks to be addressed in the face of current challenges.

    协同过滤技术面对当前挑战时暴露许多有待解决的瓶颈问题

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  • This model of collaborative filtering technology is great help in the mitigation of existing sparse problems and recommendation in time.

    模型建立对于缓解协同过滤技术存在稀疏问题、推荐的实时性问题有很大帮助

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  • Collaborative filtering is the most widely used and successful technology for personalized recommender systems. However it faces challenges of scalability and recommendation accuracy.

    协同过滤个性化推荐系统中应用广泛成功的推荐技术但是也面临着推荐准确度和可扩展性两大挑战

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  • Be inspired by the research achievement in e-commerce fields, we try to introduce the collaborative filtering technology into research of personalized recommendation of learning resources.

    电子商务研究领域相关研究成果启发,我们尝试协同过滤推荐技术引入学习资源个性化推荐研究

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  • Collaborative filtering is thriving among lots of personalized recommendation technology which leads the recommendation system trends of major e-commerce platforms.

    众多个性化推荐技术协同过滤可谓一枝独秀,算法引领当今大电子商务平台的推荐系统发展趋势

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  • Collaborative filtering recommendation algorithm can make choices based on the opinions of other people. It is the most successful technology for building recommender systems to date.

    协同过滤目前最成功一种推荐算法能够基于其他用户的观点帮助人们作出选择

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  • Collaborative filtering recommendation algorithm can make choices based on the opinions of other people. It is the most successful technology for building recommender systems to date.

    协同过滤目前最成功一种推荐算法能够基于其他用户的观点帮助人们作出选择

    youdao

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