All three companies allow users to hide their reading behavior from other customers, but users can't opt out of their behavior being collected by the company itself. Entitle, however, says it keeps track of browsing and download information only.
上述三家电子书租阅企业全都允许用户向其他用户隐藏自己的阅读行为,但他们无法选择不让这些公司收集他们的阅读行为。不过,Entitle称它只记录用户的浏览和下载信息。
Personalized recommendations drive 10 times more browsing traffic than lists based on themes such as 'globe-trotting memoirs' or 'bad role models' that replicate racks at the front of bookstores, Scribd's Mr. Friedman says. The company is interested in combining algorithms with lists to create a list of best sellers that someone would, based on past reading behavior, find interesting. Another possible approach is to suggest different books or genres depending on time of day to take advantage of what the company knows about time-based preferences.
Scribd的弗里德曼称,与模仿实体书店的排行榜、按照“环游全球回忆录”或“坏榜样”等主题制定的榜单相比,个性化的推荐带来的浏览流量是前者的10倍。该公司有意将算法与排行榜结合在一起,制定一个根据读者以往阅读习惯判断可能会让他们感兴趣的畅销书排行榜。另一个可能的方法是,利用公司掌握的不同时段内读者阅读喜好的变化情况,在一天当中的不同时段推荐不同的书籍或体裁。
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