关键词优化：将这些关键词应用于适当的页面(推荐的数量是每个页面3至5个关键词)，并自左上角开始，向下进行优化。
Keyword optimization: Apply these keywords to the appropriate pages (3-5 keywords per page is the recommended amount) and optimize from the top left, and then down.
不推荐用于数量很大的子文件夹与文档。
Not recommended for large Numbers of child folders and documents.
但我们强烈推荐您从最少数量的度量标准开始，然后只在需要时添加额外的度量标准。
But we strongly recommend you start with the smallest number of metrics you can, then add additional metrics only as needed.
但在我的阅读清单上尚有数量庞大的条目(包括几十本赫芬顿邮报推荐的书目)，且它们都能在本地的图书馆中找到。
But I have so many titles on my to-read list (including dozens of great recommendations from HuffPost Books commenters!) that I can always find some of those titles on my local library's shelves.
最新的患病率是之前研究估计数量的2倍。之前的研究没有采用世界卫生组织(WorldHealthOrganization)推荐的测试去诊断糖尿病，得出的预测患病人数与美国的患病人数相当。
The prevalence is twice as high as estimates suggested by previous studies, which did not use World Health Organization-recommended tests to diagnose diabetes, and is similar to us Numbers.
社会和人种学家莉兹·珀伦（LizPullen）曾花费一个月时间跟踪研究Twitter的500名人气用户（按follower的数量排列）和备受争议的推荐用户（suggestedusers）列表。
Sociologist and ethnographer Liz Pullen spent a month tracking the top 500 Twitter users (as ranked by number of followers) as well as the much-contested suggested users list.
本文提出了基于数量化i类理论的人工心理模型的建模方法，并介绍了该模型在个性化商品推荐系统中的应用。
We propose a modeling method of artificial psychology which based on Quantification Theory I and introduce how to apply it in recommender system in this paper.
推荐数量和类型的脂肪，蛋白质，和糖类以减少心血管疾病风险等也提供给了癌症存活者。
The recommended amounts and type of fat, protein, and carbohydrate to reduce cardiovascular disease risk are also appropriate for cancer survivors.
在讨论数量前，我们先解决价格问题不更好吗?如果你接受我们的还盘，我们就推荐用户向你方购买。
Wouldn't it be better to settle on the price first before going on to the quantity?If you accept our counteroffer, we'll advise our users to buy from you.
此外显示数量的短缺，维持说明的足够的内部检查和一般总账的推荐信控制。
Amount of shortage, recommendations for maintaining adequate internal check and general-ledger accounting control.
算法也能从相似顾客的商品里选择推荐，有多种可以利用的方法，常见的一种技术是，按照购买该商品的相似顾客数量，对每件商品进行排序。
The algorithm can select recommendations from the similar customers' items using various methods as well, a common technique is to rank each item according to how many similar customers purchased it.
最后，依据建立的用户兴趣偏好以及用户的当前上下文信息产生一定数量的推荐结果并将推荐结果在系统前台页面呈现出来。
Finally, based on the user preferences established and the user's current context information, the system computes a number of recommended results and presents the results on the front page.
但是随着用户数量和系统规模的不断扩大，协同过滤推荐技术将面临严重的数据稀疏性、超高维、冷启动和实时推荐等方面的挑战。
However, collaborative filtering has got challenges, such as data sparsity, high dimensions, cold start, and real-time recommendation issues with the fast growth in the amount of users and items.
但是随着用户数量和系统规模的不断扩大，协同过滤推荐技术将面临严重的数据稀疏性、超高维、冷启动和实时推荐等方面的挑战。
However, collaborative filtering has got challenges, such as data sparsity, high dimensions, cold start, and real-time recommendation issues with the fast growth in the amount of users and items.
应用推荐