除了标签表达清晰外，另外一个将产品建议和商业推荐区分的好处是可以更准确地跟踪哪些推荐是高效的。
Aside from label clarity, another benefit of separating your Suggestions into separate merchandising zones is more accurate tracking of what types of Suggestions are more effective.
贝叶斯推理在对付电子邮件中的垃圾信息以及其他与垃圾信息不相关的领域(比如客户亲和力引擎，或商业推荐引擎)均有突出的表现。
Bayesian inference has also gained prominence in E-mail spam-fighting, and in non-spam-related areas such as customer affinity engines (or, commercial recommendation engines).
推荐为每个商业目标划分“一个到多个”的这样的实践。
It is recommended that such practices be partitioned "one to many" for each business objective.
应用推荐