'From the publishing perspective, the biggest problem is how to get people to care about a new book,' says Otis Chandler, CEO of Goodreads, a site where people share what they're reading and post recommendations. Goodreads, which was acquired by Amazon in March, uses an algorithm that recommends books that users with similar taste have enjoyed.
Goodreads首席执行长奥蒂斯・钱德勒(Otis Chandler)指出:“从出版的角度看,最大的问题是如何让大家对一本新书产生兴趣。” Goodreads网站为人们分享并推荐自己所读书目提供平台,于去年3月被亚马逊收购。该网站利用某种算法来推荐喜好相似的用户都喜欢读的书。
Oyster and Scribd ask readers to rate books, what they call an 'active signal.' They also track 'passive signals,' such as the percentage of a book that a reader finishes and the click rate, or how many people who are shown a book click through to learn more. The companies use that information among other factors to recommend books.
Oyster 与 Scribd会邀请读者给书评分,这被他们称为“主动信号”。他们还会跟踪“被动信号”,比如某本书被读者读完的比例和点击率,或者看到某本书的人中有多少会点击它去了解更多信息。这些企业就借助此类信息再结合其他因素来推荐图书。
Active signals represent what we wish we read, while passive signals are more honest, says Jared Friedman, Scribd chief technology officer. A lot of people give a 5-star rating to 'The Great Gatsby,' while they devour, but don't necessarily rate, thrillers like 'The Da Vinci Code,' for example. (Scribd declined to discuss data on specific books.)
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