Open AccessImproving Twitter Retrieval by Exploiting Structural Information
Author(s) -
Zhunchen Luo,
Miles Osborne,
Saša Petrović,
Ting Wang
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v26i1.8198
Subject(s) - computer science , information retrieval , variety (cybernetics) , relevance (law) , social media , set (abstract data type) , structuring , rank (graph theory) , learning to rank , plain text , sequence (biology) , block (permutation group theory) , world wide web , artificial intelligence , ranking (information retrieval) , encryption , genetics , geometry , mathematics , finance , combinatorics , biology , political science , law , economics , programming language , operating system
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