摘要
随着Internet技术的不断发展,信息孤岛、信息过载和资源迷航问题严重影响用户高效率地发现、利用互联网资源。以为学生用户推荐优秀的学习资源为出发点,利用微博技术构建一个为学生用户推荐学习资源的资源推荐平台。该平台以空间向量模型为表示模型,通过Heritrix、SCWS分词器、基于内容且带有协同过滤的混合推荐算法等多种技术来收集、获取、筛选、推介学习资源数据。
With the developing of the Internet technology, information silos, information overload and resource trek problems have seriously influ- enced users to discover or use the Internet resources efficiently. In such situation, introduces a new system,which can be regarded as a platform as also. This system is based on the purpose introducing excellent learning resources to student users and uses the micro-hlog technology to construct a resource-recommendation platform for the majority of student users. It uses space-vector model as the representation model and takes advantage of the Heritrix web crawler, the SCWS segmentation, the content-based collaborative filtering recom- mendation hybrid algorithm technologies to collect, obtain, filter and recommend excellent learning resources data to student users.
基金
大学生创新创业训练项目(No.201210703052)
关键词
个性化推荐
空间向量模型
混合推荐
网络爬虫
搜索引擎
Personalized Recommendation
Vector Space Model
Hybrid Recommendation
Web Crawlers
Search Engines
