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Snippet-Based Relevance Predictions for Federated Web Search [chapter]

Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra
2013 Lecture Notes in Computer Science  
How well can the relevance of a page be predicted, purely based on snippets?  ...  A linear classifier is trained to predict the snippetbased user estimate of page relevance, but also, to predict the actual page relevance, again based on snippets alone.  ...  This research was cofunded by iMinds (Interdisciplinary institute for Technology) in Flanders, and the Netherlands Organization for Scientific Research, NWO, grants 639.022.809 and 640.005.002.  ... 
doi:10.1007/978-3-642-36973-5_63 fatcat:gkdohdnxmndsdhgnxz7k7jvjou

What Snippets Say about Pages in Federated Web Search [chapter]

Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra
2012 Lecture Notes in Computer Science  
To this end, a number of probabilistic quantities, based on snippet and page relevance, are introduced and evaluated.  ...  What is the likelihood that a Web page is considered relevant to a query, given the relevance assessment of the corresponding snippet?  ...  This research was partly supported by the Netherlands Organization for Scientific Research, NWO, grants 639.022.809 and 640.005.002, and partly by the IBBT (Interdisciplinary Institute for Broadband Technology  ... 
doi:10.1007/978-3-642-35341-3_21 fatcat:v6xgiso435f3jhcdxhpin2nbam

RUC at TREC 2014: Select Resources Using Topic Models

Qiuyue Wang, Shaochen Shi, Wei Cao
2014 Text Retrieval Conference  
This paper describes the work done in Renmin University of China for the Federated Web Search Track of TREC 2014. We participated in the resource selection task.  ...  We used the LDA topic modeling approach to select potentially relevant resources for a given query. The initial results are promising.  ...  INTRODUCTION The Federated Web Search Track [1] is intended to investigate federated search techniques in a realistic Web setting with a large number of online Web search services.  ... 
dblp:conf/trec/WangSC14 fatcat:lalajzq2fjgutinefatynbhowi

Drexel at TREC 2014 Federated Web Search Track

Haozhen Zhao, Xiaohua Hu
2014 Text Retrieval Conference  
This paper reports our participation in the Federated Web Search Track in TREC 2014.  ...  We evaluated 7 well known resource selection methods for the vertical selection and resource selection tasks.  ...  The Federated Web Search Track 2014 (FedWeb 2014), with its precedent, FedWeb 2013 [4] , features realistic web test collections for the federated web search task.  ... 
dblp:conf/trec/ZhaoH14 fatcat:3ld6doqp65emlpfxj7a6j6g4qa

Query classification using asymmetric learning

Zheng Zhu, Mark Levene, Ingemar J Cox
2009 2009 Second International Conference on the Applications of Digital Information and Web Technologies  
Understanding the meaning of queries is a key task which is at the heart of web search.  ...  Various enrichment strategies have been proposed that are based on either pseudo-relevance feedback or secondary sources of information.  ...  And for federated search, if query classification is used to select which databases to access, then classification cannot be based on retrieval results.  ... 
doi:10.1109/icadiwt.2009.5273856 fatcat:g6ohnl336fcg3ct3y6ybetxe5e

Simple May Be Best - A Simple and Effective Method for Federated Web Search via Search Engine Impact Factor Estimation

Shan Jin, Man Lan
2014 Text Retrieval Conference  
., vertical selection (VS), resource selection (RS) and results merging (RM) in TREC 2014 Federated Web Search track.  ...  Existing algorithms adopted relevance measures to calculate the semantic relatedness between query and resources or returned results. However they neglected the influence of search engine in itself.  ...  Web search is the most popular way for people to find information on the web.  ... 
dblp:conf/trec/JinL14 fatcat:uaurglvmu5glxnvjcwiawgbkja

Time-Aware Evidence Ranking for Fact-Checking [article]

Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens
2021 arXiv   pre-print
Our study reveals that time-aware evidence ranking not only surpasses relevance assumptions based purely on semantic similarity or position in a search results list, but also improves veracity predictions  ...  In this work, we investigate the hypothesis that the timestamp of a Web page is crucial to how it should be ranked for a given claim.  ...  Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication.  ... 
arXiv:2009.06402v4 fatcat:pqig65lerjbqhn5if7365rhjsq

Resource Selection for Federated Search on the Web [article]

Dong Nguyen, Thomas Demeester, Dolf Trieschnigg, Djoerd Hiemstra
2016 arXiv   pre-print
A publicly available dataset for federated search reflecting a real web environment has long been absent, making it difficult for researchers to test the validity of their federated search algorithms for  ...  Second, we show that an optimized federated search system based on smaller web search engines can be an alternative to a system using large web search engines.  ...  Acknowledgements This research was supported by the Dutch national program COMMIT and the Folktales as Classifiable Texts (FACT) project, which is part of the CATCH programme funded by the Netherlands Organisation for  ... 
arXiv:1609.04556v1 fatcat:47p6m6xwqfa7pkg4nus5tu542a

Language Independent Answer Prediction from the Web [chapter]

Alejandro Figueroa, Günter Neumann
2006 Lecture Notes in Computer Science  
This work presents a strategy that aims to extract and rank predicted answers from the web based on the eigenvalues of a specially designed matrix.  ...  We assess the rank of predicted answers by extracting answer candidates for three different kinds of questions.  ...  Conclusion We presented a language independent strategy for predicting and extracting answers from Web snippets.  ... 
doi:10.1007/11816508_43 fatcat:wnd3ctpcqrebnntwcipdrrfwyi

Exploiting user disagreement for web search evaluation

Thomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen, Dolf Trieschnigg, Chris Develder
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
Finally, we discuss a specific application of the model, in the estimation of suitable weights for the combined relevance of Web search snippets and pages.  ...  Especially in Web search, users strongly prefer top results over less relevant results, and yet they often disagree on which are the top results for a given information need.  ...  , but high-quality, judgments of both result snippets and result pages in a federated Web search setting.  ... 
doi:10.1145/2556195.2556268 dblp:conf/wsdm/DemeesterAHNTD14 fatcat:ygdwamwxvfhkbibjcyy4y23ufa

From federated to aggregated search

Fernando Diaz, Mounia Lalmas, Milad Shokouhi
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
and digital library environments Challenges for federated search  Cooperative environment  Uncooperative environment From federated search to aggregated search  "Federated search on the web  ...  for relevant documents.  ... 
doi:10.1145/1835449.1835682 dblp:conf/sigir/DiazLS10 fatcat:iu5htgjzjfc37frmmhbnbastki

Guest Editor's Introduction: Special Section on Services and Software Engineering Towards Internetware

M. Brian Blake, Abdelsalam Sumi Helal, Hong Mei
2019 IEEE Transactions on Services Computing  
The approach can generate a code snippet candidate set by searching a code snippet corpus using an information retrieval method, and can predict the probability values of the code snippets for different  ...  relevance scores in the candidate set by the learned prediction model.  ... 
doi:10.1109/tsc.2018.2878660 fatcat:243gy7cjvndm5j3lxqgnvqd2ae

Studying user browsing behavior through gamified search tasks

Jiyin He, Marc Bron, Leif Azzopardi, Arjen de Vries
2014 Proceedings of the First International Workshop on Gamification for Information Retrieval - GamifIR '14  
Typical crowdsourcing tasks ask workers to label images or make relevance judgements, as a low cost alternative to lab based user studies.  ...  In this paper we discuss a new type of task, where we aim at eliciting player behavior that resembles user behavior when performing a search task.  ...  The topics, facets, and relevance judgements are taken from the 2013 Federated Search track [1] .  ... 
doi:10.1145/2594776.2594787 dblp:conf/ecir/HeBAV14 fatcat:xvbqfehrmjfudgfu3cygby5pli

Influence of Vertical Result in Web Search Examination

Zeyang Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
We believe that this work will promote our understanding of user interactions with federated search engines and bring benefit to the construction of search performance evaluations.  ...  Considering the fact that a large fraction of SERPs are served with one or more verticals in the practical Web search scenario, it is of vital importance to understand the influence of vertical results  ...  [7] predict the relevance of documents by using the gaze data.  ... 
doi:10.1145/2766462.2767714 dblp:conf/sigir/LiuLZ0M15 fatcat:scu56fkx7vh7bnkdzk6azej3ym

Evaluation of a Recursive Weighting Scheme for Federated Web Search

Emanuele Di Buccio, Ivano Masiero, Massimo Melucci
2014 Italian Information Retrieval Workshop  
One issue of Federated Web Search is resource selection, i.e. the selection of the search engines which most likely provide documents relevant to the query.  ...  This paper reports on the experimental evaluation in Federated Web Search setting of a recursive weighting scheme for ranking informative resources in architectures that involve an arbitrary number of  ...  The objective of our work is to investigate the effectiveness of TWF•IRF for search engine selection in Federated Web Search setting.  ... 
dblp:conf/iir/BuccioMM14 fatcat:ncqnueepjrhadhpfp65ohzp6qu
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