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Introduction to Recommender Sys Part I (static)

时间:2015-04-25 00:30:13      阅读:178      评论:0      收藏:0      [点我收藏+]

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Data types:

  1. Explict

  2. Implict

Difference between recommender and prediction: 推荐系统建议你可能感兴趣的东西(top n interested),而预测则预测用户对东西的喜好程度。

TOP-N + Softer/Organic Presentation (推荐系统采用一种软性广告的形式获得信任)

Wilson score interval 被用来计算评价的置信度/score

http://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval#Wilson_score_interval

How to rank:

  1. http://amix.dk/blog/post/19574

  2. http://amix.dk/blog/post/19588

  3. https://possiblywrong.wordpress.com/2011/06/05/reddits-comment-ranking-algorithm/

  4. http://www.evanmiller.org/how-not-to-sort-by-average-rating.html

Introduction to Recommender Sys Part I (static)

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原文地址:http://my.oschina.net/edwardpku/blog/406105

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