Advances in Information Retrieval
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[1] Krisztian Balog,et al. Exploiting Entity Linking in Queries for Entity Retrieval , 2016, ICTIR.
[2] Krisztian Balog,et al. Entity-Oriented Search , 2018, The Information Retrieval Series.
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[4] Vasudeva Varma,et al. Don't Use a Lot When Little Will Do: Genre Identification Using URLs , 2013, Res. Comput. Sci..
[5] Azadeh Shakery,et al. An Axiomatic Study of Query Terms Order in Ad-hoc Retrieval , 2019, ECIR.
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[7] Xiaofang Zhou,et al. Enhance Web Pages Genre Identification Using Neighboring Pages , 2011, WISE.
[8] Aytug Onan,et al. An ensemble scheme based on language function analysis and feature engineering for text genre classification , 2018, J. Inf. Sci..
[9] Adam Jatowt,et al. PaperHunter: A System for Exploring Papers and Citation Contexts , 2019, ECIR.
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[15] Katja Markert,et al. Semi-supervised Graph-based Genre Classification for Web Pages , 2014, TextGraphs@EMNLP.
[16] Maarten de Rijke,et al. OpenSearch: Lessons Learned from an Online Evaluation Campaign , 2018, ACM J. Data Inf. Qual..
[17] Efstathios Stamatatos,et al. Open set evaluation of web genre identification , 2018, Lang. Resour. Evaluation.
[18] Oliver Kopp,et al. Mr. DLib's Living Lab for Scholarly Recommendations , 2018, ECIR.
[19] Klaus U. Schulz,et al. Genre as noise: noise in genre , 2007, International Journal of Document Analysis and Recognition (IJDAR).
[20] Ruchika Malhotra,et al. Quantitative evaluation of web metrics for automatic genre classification of web pages , 2017, Int. J. Syst. Assur. Eng. Manag..
[21] Osman Mutlu,et al. A Task Set Proposal for Automatic Protest Information Collection Across Multiple Countries , 2019, ECIR.
[22] Efstathios Stamatatos,et al. The Impact of Noise in Web Genre Identification , 2015, CLEF.
[23] Fabio Crestani,et al. Early Detection of Risks on the Internet: An Exploratory Campaign , 2019, ECIR.
[24] Jebari Chaker. A Combination based on OWA Operators for Multi-label Genre Classification of web pages , 2015, Proces. del Leng. Natural.
[25] Kevin Crowston,et al. Problems in the Use-Centered Development of a Taxonomy of Web Genres , 2011, Genres on the Web.
[26] A. Venugopal Reddy,et al. Web Page Genre Classification: Impact of n-Gram Lengths , 2014 .
[27] Udo Kruschwitz,et al. Rethinking 'Advanced Search': A New Approach to Complex Query Formulation , 2019, ECIR.
[28] Efstathios Stamatatos,et al. Learning to recognize webpage genres , 2009, Inf. Process. Manag..
[29] Pavel Pecina,et al. An Extended CLEF eHealth Test Collection for Cross-Lingual Information Retrieval in the Medical Domain , 2019, ECIR.
[30] Gil-Chang Kim,et al. Multiple sets of features for automatic genre classification of web documents , 2005, Inf. Process. Manag..
[31] Mark Sanderson,et al. The SPIRIT collection: an overview of a large web collection , 2004, SIGF.
[32] Azadeh Shakery,et al. Deep Neural Networks for Query Expansion using Word Embeddings , 2018, ECIR.