电影智能推荐算法的潜在文化影响

Potential Cultural Influence of Intelligent Recommendation Algorithms for Films

智能推荐系统被广泛用以实现用户和电影资源之间的精准匹配,它在针对不同用户的趣味进行个性化推送的同时,也会加剧审美品格的物化、类型化以及在不同群体间的区隔。算法的推送结果较之人工推荐也更多映射出人的潜意识欲望,而无论是基于内容还是基于协同过滤的推荐算法,都会促成拥有同类型趣味和偏好的用户的聚集,弱化潜意识欲望表达的负罪感,并会加剧文化的祛魅及个人的原子化。

Intelligent recommendation systems are broadly applied to precisely and exactly match between users and movie resources, which is carrying out personalized information push service oriented at different users’ tastes, simultaneously intensifying materialization, categorization of aesthetic quality and the distinction between different groups. Moreover, compared with manual recommendation, the push service results of the algorithm also echo with subconscious of human desires. Whether based on content or recommendation algorithm of collaborative filtering, it will promote the aggregation of users with similar tastes and preferences, weaken the guilt that expressed by subconscious desires, meanwhile intensify the cultural disenchantment and the individual atomization.