1.
Design of Collection and Decision Support System Based on Reader Recommendation
基于读者荐购的采访决策支持系统设计
2.
That book was warmly commended to the general readers.
那本书被热情地推荐给一般读者。
3.
Recommendations: Two letters of recommendation from school officials where the applicant most recently attended.
推荐信：两封来自申请者最近就读学校的正式推荐信。
4.
The Impact of E-commerce Product Recommendation Agent on Consumer Decision Making
电子商务中产品推荐代理对消费者购买决策的影响
5.
It tests consumer goods and makes recommendations to readers.
这个单位负责检验民生用品，并且向读者推荐优良产品。
6.
Research the Books, Tags and Recommendation Composing Network of Douban Scattering Character
豆瓣中图书、标签、读者推荐构成的网络分布特征研究
7.
This paper introduces method of recommending books with consideration reading tendency, substance, publisher and author of books, ect.
本文介绍在综合考虑读者阅读倾向,图书内容、版和著者等情况的基础上推荐图书的方法。
8.
Interpret "the Regulation on Foreign Investors Merging and Acquiring Domestic Enterprises";
对《关于外国投资者并购境内企业的规定》的解读
9.
Consultation for the Purchase of Specialized Database Based on the Readers' Behaviors
基于读者行为特征的数据库购买决策研究
10.
Instead of recommending products or services, these sites solicit community rankings to help steer readers to interesting online stories and postings.
而不是推荐产品或服务，这些地点请求社区评价帮助驾驶读者到有趣的联机故事和公告。
11.
Analysis and Modeling on UML Recommender and Purchase System for Book;
UML的图书荐购系统的分析与建模
12.
THE DESIGN AND IMPLEMENTATION OF RECOMMENDATION SYSTEM FOR B2C ONLINE SHOPPING
B2C网上购物推荐系统的设计与实现
13.
Study on the Effect of Books Recommendation System on Library Services
图书荐购系统对图书馆服务影响研究
14.
Samantha: Books that are snapped up by about45 million readers, the vast majority of whom are women.
萨曼莎：会有4千5百万的读者抢购这些书，其中绝大多数是女性。
15.
One of the most compelling needs for readers in the 1980s was reliable information about shopping.
本世纪80年代读者最迫切需要之一，是得到购物的可靠信息。
16.
This lesson will give the reader both information and tips on gem stones and their purchase.
本课将提供读者有关宝石以及如何选购宝石的资讯和秘诀。
17.
Suggested content only~~Downloads provider-recommended content.
仅接受推荐的内容~~下载提供者推荐的内容。
18.
The research on referral s influence on consumers purchase decision in virtual community;
虚拟社区中推荐者特征对推荐效果的影响