• Corpus ID: 14249254

Overview of the TREC 2008 Blog Track

@inproceedings{Ounis2008OverviewOT,
  title={Overview of the TREC 2008 Blog Track},
  author={Iadh Ounis and Craig Macdonald and Ian Soboroff},
  booktitle={Text Retrieval Conference},
  year={2008}
}
Abstract : The Blog track explores the information seeking behaviour in the blogosphere. The track was introduced in 2006, with a main pilot search task, namely the opinion-finding task. In TREC 2007, the track investigated two main tasks inspired by the analysis of a commercial blog-search query log: the opinion-finding task and the blog distillation task. In addition, the Blog 2007 track investigated a natural extension to the opinion-finding task, namely the polarity task. All tasks thus far… 

Overview of the TREC 2009 Blog Track

In TREC 2009, the Blog track has been markedly revamped with the use of a new and larger sample of the blogosphere, called Blogs08, which has a 13-month timespan covering a period ranging from 14th January 2008 to 10th February 2009, and the introduction of two new search tasks, addressing more refined and typical search scenarios on theblogosphere.

Blog track research at TREC

The TREC Blog track aims to explore information seeking behaviour in the blogosphere, by building reusable test collections for blog-related search tasks, and is recapped on the tasks addressed thus far, covering the period 2006 - 2009.

Blog feed search with a post index

This paper model the blog feed search task by aggregating over a blogger’s posts to collect evidence of relevance to the topic and persistence of interest in the topic, and introduces a two-stage model where a pre-selection of candidate blogs is followed by a ranking step.

Information Retrieval on the Blogosphere

This survey describes the phenomenon of blogging and the motivations for searching for information on blogs, and covers both the search tasks underlying blog searchers' information needs and the most successful approaches to these tasks.

UvA-DARE (Digital Academic Repository) Blog feed search with a post index

This paper model the blog feed search task by aggregating over a blogger’s posts to collect evidence of relevance to the topic and persistence of interest in the topic, and introduces a two-stage model where a pre-selection of candidate blogs is followed by a ranking step.

Is spam an issue for opinionated blog post search?

Investigation of the extent to which spam has affected the participating groups' retrieval systems over the three years of the TREC Blog track opinion-finding task shows that spam can be an issue, with most systems retrieving some spam for every topic.

An improved feedback approach using relevant local posts for blog feed retrieval

This paper proposes a novel feed-level selection of local posts which uses only highly relevant local posts in each top-ranked feed, in order to capture the correct and diverse relevant information to a given topic.

Time sensitive blog retrieval using temporal properties of queries

This paper proposes an efficient approach to improving relevant blog retrieval using temporal property of queries, which aims at ranking blogs with respect to their recurrent relevance to a user's topic.

RMIT at TREC 2010 Blog Track: Faceted Blog Distillation Task

This paper reports RMIT's participation in the TREC Blog Track 2010. For the baseline task, we adopted the BM25 model implemented in the Zettair search engine to establish a retrieval system of blog
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References

SHOWING 1-10 OF 10 REFERENCES

Overview of the TREC 2007 Blog Track

This paper has created the first blog test collection, namely the TREC Blog06 collection, for adhoc retrieval and opinion finding, and provides an overview of each task, summarises the obtained results and draws conclusions for the future.

On the TREC Blog Track

TheBlog track was introduced in 2006 as part of the renowned Text REtrieval Conference (TREC) evaluation forum to drive research on the blogosphere and to facilitate experimentation and evaluation of blog search techniques.

The TREC Blogs06 Collection: Creating and Analysing a Blog Test Collection

This paper describes the creation of the Blogs06 collection by the University of Glasgow, and reports statistics of the collected data, and demonstrates how some characteristics of the collection vary across the spam and non-spam components.

Overview of the TREC 2006 Blog Track

The Blog track began this year, with the aim to explore the information seeking behaviour in the blogosphere, and a new large-scale test collection, namely the TREC Blog06 collection, has been created.

University of Glasgow at TREC 2007: Experiments in Blog and Enterprise Tracks with Terrier

This work proposes a statisti cal term weighting approach to identify opinionated documents and an alternative approach based on an opinion identification too l is also utilised.

What should blog search look like?

It is argued that blog search is probably best integrated with search on other forms of timely social media for the task of determining what is currently being thought about a particular topic.

Evaluation by highly relevant documents

To explore the role highly relevant documents play in retrieval system evaluation, assessors for the TREC-9 web track used a three-point relevance scale and also selected best pages for each topic, confirming the hypothesis that different retrieval techniques work better for retrievinghighly relevant documents.

Terrier : A High Performance and Scalable Information Retrieval Platform

Terrier is described, a high performance and scalable search engine that allows the rapid development of large-scale retrieval applications and provides a comprehensive, flexible, robust, and transparent test-bed platform for research and experimentation in Information Retrieval (IR).

D & C

Limits of opinion-finding baseline systems

This work investigates how the underlying 'baseline' retrieval system performance affects the overall opinion-finding performance, and applies two effective opinion- finding techniques to all the baseline runs submitted to the TREC 2007 Blog track, and draws new insights and conclusions.