Combining multiple evidence from different properties of weighting schemes
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
Improving the estimation of relevance models using large external corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Implementation and evaluation of a quality-based search engine
Proceedings of the seventeenth conference on Hypertext and hypermedia
Journal of the American Society for Information Science and Technology
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
An analysis on document length retrieval trends in language modeling smoothing
Information Retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Cool Blog Identi?cation Using Topic-Based Models
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Blog credibility ranking by exploiting verified content
Proceedings of the 3rd workshop on Information credibility on the web
Automatically assessing the post quality in online discussions on software
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Learning to recommend helpful hotel reviews
Proceedings of the third ACM conference on Recommender systems
An effective coherence measure to determine topical consistency in user-generated content
International Journal on Document Analysis and Recognition - Special Issue NOISY
A generative blog post retrieval model that uses query expansion based on external collections
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Predicting podcast preference: An analysis framework and its application
Journal of the American Society for Information Science and Technology
Exploiting social context for review quality prediction
Proceedings of the 19th international conference on World wide web
Modulating video credibility via visualization of quality evaluations
Proceedings of the 4th workshop on Information credibility
Using coherence-based measures to predict query difficulty
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Modern Information Retrieval
Evidentiality for text trustworthiness detection
NLPLING '10 Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground
Using readability tests to predict helpful product reviews
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Information credibility on twitter
Proceedings of the 20th international conference on World wide web
Incorporating query expansion and quality indicators in searching microblog posts
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Blog feed search with a post index
Information Retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Exploiting External Collections for Query Expansion
ACM Transactions on the Web (TWEB)
Pseudo test collections for training and tuning microblog rankers
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Using temporal bursts for query modeling
Information Retrieval
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Credibility of information refers to its believability or the believability of its sources. We explore the impact of credibility-inspired indicators on the task of blog post retrieval, following the intuition that more credible blog posts are preferred by searchers. Based on a previously introduced credibility framework for blogs, we define several credibility indicators, and divide them into post-level (e.g., spelling, timeliness, document length) and blog-level (e.g., regularity, expertise, comments) indicators. The retrieval task at hand is precision-oriented, and we hypothesize that the use of credibility-inspired indicators will positively impact precision. We propose to use ideas from the credibility framework in a reranking approach to the blog post retrieval problem: We introduce two simple ways of reranking the top n of an initial run. The first approach, Credibility-inspired reranking, simply reranks the top n of a baseline based on the credibility-inspired score. The second approach, Combined reranking, multiplies the credibility-inspired score of the top n results by their retrieval score, and reranks based on this score. Results show that Credibility-inspired reranking leads to larger improvements over the baseline than Combined reranking, but both approaches are capable of improving over an already strong baseline. For Credibility-inspired reranking the best performance is achieved using a combination of all post-level indicators. Combined reranking works best using the post-level indicators combined with comments and pronouns. The blog-level indicators expertise, regularity, and coherence do not contribute positively to the performance, although analysis shows that they can be useful for certain topics. Additional analysis shows that a relative small value of n (15---25) leads to the best results, and that posts that move up the ranking due to the integration of reranking based on credibility-inspired indicators do indeed appear to be more credible than the ones that go down.