Recommendations like these can be helpful in minimizing the need to perform model synchronization, but they will not totally eliminate this need, which leads us to an alternative approach.
像这样的建议对于减少模型同步的需要可能会有所帮助,但是它们并不能完全消除这种需求,而这就为我们带来了另一种方式。
With “search goods” like cameras, consumers are more swayed by recommendations based on perceived expertise, like a review score based on 30 aspects of the product rather than 5.
同时,对于像照相机这样的“搜寻品”(即购买前通过考察就可以了解其质量如何的产品),消费者更容易被有专业知识的建议所打动,比如根据产品的30个方面所做的评价,而不是仅仅5个方面。
And many people use Twitter to ask for recommendations, like which type of gadget to buy or which movie to see.
同时,也有不少个人用户在Twitter上向公司要求推荐他们的产品,就如买哪一款配件或去看哪一步电影。
应用推荐