… In web information retrieval, every single user has a unique … several topics, the semantics
on the web blogs level is difficult. … In this paper, the difficulties of blog data collection process …

… text rich in semantic information is significantly needed to … suitable for information retrieval,
query recommendation, and … recognition for personalized information retrieval. Each query …

… fuses the social media data for extraction of fashion features. … of outfits, such as street, blogger
and summer. On the other hand, … and they carry complementary semantics information, our …

… that refresh the index giving personalized information guided by interest and … semantic
retrieval system to extract the content from the blog and wiki documents. The structure of the blogs …

… data noise or private information. However, we need to consider the scope of data noise or
private information … Furthermore, whether removing such texts undermines semantics also …

… ) data collection that collects information about users, (b) preprocessing that analyzes the
collected information to obtain semantic content … from multiple social systems (eg, blogs, social …

… micro-blog text is pre-processed to remove irrelevant data such … basic definitions about the
extraction of Weibo feature words … The stop word list is customized. These measures can save …

… when searching for personalized information. … extraction, enrichment and definition of a
user's profile and interests. In particular, data generated in social networks and the linked data …

… models multi-granularity semantic interest relationships among … the data sparsity and diversity
problems in personalized … crawled 13,722 posted micro-blogs and 5017 followee actions …

… [13] have exploited user activity data and last activity history to … the issue of large scale
heterogeneous data which is common … extraction which is a well-known approach for semantic …