A Study of Blog Search

Mishne, Gilad; Rijke, Maarten de

doi:10.1007/11735106_26

Cited by 118 publications

(83 citation statements)

References 9 publications

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“…These categories mirror the short term versus long term interest distinction observed by Mishne and de Rijke [27] in their study of blog search behavior. Although currently most focus is on finding blog posts, some systems offer the possibility to search for full blogs, alongside of post-level retrieval functionality [14].…”

Section: Introductionsupporting

confidence: 62%

An effective coherence measure to determine topical consistency in user-generated content

Weerkamp

Larson

et al. 2009

IJDAR

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When searching for blogs on a specific topic, information seekers prefer blogs that place a central focus on that topic over blogs whose mention of the topic is diffuse or incidental. In order to present users with better blog feed search results, we developed a measure of topical consistency that is able to capture whether or not a blog is topically focused. The measure, called the coherence score, is inspired by the genetics literature and captures the tightness of the clustering structure of a data set relative to a background collection. In a set of experiments on synthetic data, the coherence score is shown to provide a faithful reflection of topic clustering structure. The properties that make the coherence score more appropriate than lexical cohesion, a common measure of topical structure, are discussed. Retrieval experiments show that integrating the coherence score as a prior in a language modeling-based approach to blog feed search improves retrieval effectiveness. The coherence score must, however, be used judiciously in order to avoid boosting the ranking of irrelevant but topically focused blogs. To this end, we experiment with a series of weighting schemes that adjust the contribution of the coherence score according to the relevance of a blog to the user query. An appropriate weighting scheme is able to improve retrieval performance. Finally, we show that the coherence score can be reliably estimated with a sample exceeding 20 posts in size. Consistent with this finding, experiments show that the best retrieval performance is achieved if coherence scores are used when a blog contains more than 20 posts.

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Section: Introductionsupporting

confidence: 62%

An effective coherence measure to determine topical consistency in user-generated content

Weerkamp

Larson

et al. 2009

IJDAR

Self Cite

View full text Add to dashboard Cite

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“…In this environment of new data types, online news is an especially interesting type for mining and analysis purposes. Much of what goes on in social media is a response to, or comment on, news events, reflected by the large amount of news-related queries users ask to blog search engines [9]. Tracking news events and their impact as reflected in social media has become an important activity of media analysts [1] and there is a growing body of research on developing algorithms and tools to support this type of analysis (see the related work section below).…”

Section: Introductionmentioning

confidence: 99%

News Comments:Exploring, Modeling, and Online Prediction

Tsagkias

Weerkamp

Rijke

2010

Lecture Notes in Computer Science

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Abstract. Online news agents provide commenting facilities for their readers to express their opinions or sentiments with regards to news stories. The number of user supplied comments on a news article may be indicative of its importance, interestingness, or impact. We explore the news comments space, and compare the log-normal and the negative binomial distributions for modeling comments from various news agents. These estimated models can be used to normalize raw comment counts and enable comparison across different news sites. We also examine the feasibility of online prediction of the number of comments, based on the volume observed shortly after publication. We report on solid performance for predicting news comment volume in the long run, after short observation. This prediction can be useful for identifying news stories with the potential to "take off," and can be used to support front page optimization for news sites.

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“…Users often search for specific entities instead of documents mentioning them [8,20]. Example information needs include "Impressionist art museums in The Netherlands" or "Experts on authoring tools," where answers to be returned are museums and experts and not just articles discussing them.…”

Section: Introductionmentioning

confidence: 99%

Category-Based Query Modeling for Entity Search

Balog

Bron

Rijke

2010

Lecture Notes in Computer Science

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Abstract. Users often search for entities instead of documents and in this setting are willing to provide extra input, in addition to a query, such as category information and example entities. We propose a general probabilistic framework for entity search to evaluate and provide insight in the many ways of using these types of input for query modeling. We focus on the use of category information and show the advantage of a category-based representation over a term-based representation, and also demonstrate the effectiveness of category-based expansion using example entities. Our best performing model shows very competitive performance on the INEX-XER entity ranking and list completion tasks.

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A Study of Blog Search

Cited by 118 publications

References 9 publications

An effective coherence measure to determine topical consistency in user-generated content

An effective coherence measure to determine topical consistency in user-generated content

News Comments:Exploring, Modeling, and Online Prediction

Category-Based Query Modeling for Entity Search

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