We address the task of (blog) feed distillation: to find blogs that are principally devoted to a given topic. The task may be viewed as an association finding task, between topics and bloggers. Under this view, it resembles the expert finding task, for which a range of models have been proposed. We adopt two language modeling-based approaches to expert finding, and determine their effectiveness as feed distillation strategies. The two models capture the idea that a human will often search for key blogs by spotting highly relevant posts (the Posting model) or by taking global aspects of the blog into account (the Blogger model). Results show the Blogger model outperforms the Posting model and delivers state-of-the art performance, out-of-the...
We describe our participation in the TREC 2007 Blog track. In the opinion task we looked at the diff...
Weblogs, or blogs, are becoming more and more interesting for a wide audience. Millions of personal,...
term t is present in the query. We use the top N most relevant utterances (posts) to identify the se...
User generated content in general, and blogs in particular, form an interesting and relatively littl...
Abstract. User generated content in general, and blogs in particu-lar, form an interesting and relat...
Searchers on the blogosphere often have a need to identify other key bloggers with similar interests...
Abstract. User generated content in general, and blogs in particu-lar, form an interesting and relat...
User generated content forms an important domain for mining knowledge. In this paper, we address the...
We consider blog feed search: identifying relevant blogs for a given topic. An individual's search b...
We consider blog feed search: identifying relevant blogs for a given topic. An individual’s search b...
ABSTRACT We consider blog feed search: identifying relevant blogs for a given topic. An individual&a...
In the blogosphere, different actors express their opinions about multiple topics. Users, companies ...
Blogs represent an important new arena for knowledge discovery in open source intelligence gathering...
Abstract—Current ranking algorithms, such as PageRank, Technorati authority, and BI-Impact, favor bl...
Blogs have become an important medium for people to publish opinions and ideas on the web. Bloggers ...
We describe our participation in the TREC 2007 Blog track. In the opinion task we looked at the diff...
Weblogs, or blogs, are becoming more and more interesting for a wide audience. Millions of personal,...
term t is present in the query. We use the top N most relevant utterances (posts) to identify the se...
User generated content in general, and blogs in particular, form an interesting and relatively littl...
Abstract. User generated content in general, and blogs in particu-lar, form an interesting and relat...
Searchers on the blogosphere often have a need to identify other key bloggers with similar interests...
Abstract. User generated content in general, and blogs in particu-lar, form an interesting and relat...
User generated content forms an important domain for mining knowledge. In this paper, we address the...
We consider blog feed search: identifying relevant blogs for a given topic. An individual's search b...
We consider blog feed search: identifying relevant blogs for a given topic. An individual’s search b...
ABSTRACT We consider blog feed search: identifying relevant blogs for a given topic. An individual&a...
In the blogosphere, different actors express their opinions about multiple topics. Users, companies ...
Blogs represent an important new arena for knowledge discovery in open source intelligence gathering...
Abstract—Current ranking algorithms, such as PageRank, Technorati authority, and BI-Impact, favor bl...
Blogs have become an important medium for people to publish opinions and ideas on the web. Bloggers ...
We describe our participation in the TREC 2007 Blog track. In the opinion task we looked at the diff...
Weblogs, or blogs, are becoming more and more interesting for a wide audience. Millions of personal,...
term t is present in the query. We use the top N most relevant utterances (posts) to identify the se...