Add to ORKGAdvertisement recommendation on the Web is a popular research problem. For microblog platforms, different requirements arise due to the differences in the context of social media and social network. In this work, we propose an advertisement recommendation system for microblogs. The proposed solution uses all contents of the messages (texts, captions, web links, hashtags), and enhances them with sentiment data and followee/follower interactions expressed as microblog posts to generate a new user model. As another novel feature, Wikipedia Good Pages are used as general background knowledge for matching user profiles and advertisement contents. On the basis of the similarity between advertisement vectors and user profile vectors, the most relate...
Online news reading has become a widely popular way to read news articles from news sources around t...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
The microblogging service Twitter uses hashtags to tag and categorize messages. To automatically rec...
Recommendation diversification, which is the action of suggesting dissimilar products, is an emergin...
[[abstract]]With the rapid growth of Internet and social networking websites, various services are p...
Precise recommendation of followers helps in improving the user experience and maintaining the prosp...
In this paper we propose a Twitter recommender based on a semantic description of users' interests. ...
Nowadays, more and more users keep up with news through information streams coming from real-time mi...
Computing similarity between short microblogs is an important step in microblog recommendation. In t...
Computing similarity between short microblogs is an important step in microblog recommendation. In t...
Abstract—Microblogging services such as Twitter and Tencent Weibo have enjoyed drastic popularity in...
The main, if not the only, income for social networks is from advertising. Social media platforms li...
During the last decade, the web transformed from a web of information con-sumers to a web of informa...
Recommending news stories to users, based on their preferences, has long been a favourite domain for...
We propose a general framework for the recommendation of possible customers (users) to advertisers (...
Online news reading has become a widely popular way to read news articles from news sources around t...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
The microblogging service Twitter uses hashtags to tag and categorize messages. To automatically rec...
Recommendation diversification, which is the action of suggesting dissimilar products, is an emergin...
[[abstract]]With the rapid growth of Internet and social networking websites, various services are p...
Precise recommendation of followers helps in improving the user experience and maintaining the prosp...
In this paper we propose a Twitter recommender based on a semantic description of users' interests. ...
Nowadays, more and more users keep up with news through information streams coming from real-time mi...
Computing similarity between short microblogs is an important step in microblog recommendation. In t...
Computing similarity between short microblogs is an important step in microblog recommendation. In t...
Abstract—Microblogging services such as Twitter and Tencent Weibo have enjoyed drastic popularity in...
The main, if not the only, income for social networks is from advertising. Social media platforms li...
During the last decade, the web transformed from a web of information con-sumers to a web of informa...
Recommending news stories to users, based on their preferences, has long been a favourite domain for...
We propose a general framework for the recommendation of possible customers (users) to advertisers (...
Online news reading has become a widely popular way to read news articles from news sources around t...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
The microblogging service Twitter uses hashtags to tag and categorize messages. To automatically rec...