… 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 …

… 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 …

… Micro-blogging services have established new forms of … as well as semantics of posts for the
personalized retrieval of Tumblr … for the results of retrieval as posts in the validation data. To …

… 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 …

… [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 …

… • We show the ability to enhance image embeddings to better capture the high-level
semantics (eg, emotion, the nature of objects) from user behaviors. • We demonstrate its …

… of the blog recommendation source pool Realizing a blog … relation and semantic analysis to
make a more personalized … of digital visual content on a large scale. But this growth rate has …

… the data of large scale, termed as “big data”, is continuously growing day by day. Such …
R (2016) Personalized semantic retrieval of information from large scale blog data. In: IEEE …