• Publications
    • Conference Papers
    • Workshop Papers
    • Journal Papers
    • Publicity
    • Books
    • Theses
    • Submitted
  • Professional Activities
  • Teaching
  • About
  • Contact

Edgar Meij

semantic search research ッ

  • Publications
    • Conference Papers
    • Workshop Papers
    • Journal Papers
    • Publicity
    • Books
    • Theses
    • Submitted
  • Professional Activities
  • Teaching
  • About
  • Contact
CIKM 2014

Time-Aware Rank Aggregation for Microblog Search

24/08/2014 Blog Conference Papers Publications 2 Comments

We tackle the problem of searching microblog posts and frame it as a rank aggregation problem where we merge result lists generated by separate rankers so as to produce a final ranking to be returned to the user. We propose a rank aggregation method, TimeRA, that is able to infer the rank scores of documents via latent factor modeling. It is time-aware and rewards posts that are published in or near a burst of posts that are ranked highly in many of the lists being aggregated. Our experimental results show that it significantly outperforms state-of-the-art rank aggregation and time-sensitive microblog search algorithms.

combMNZcombSUMData fusionhttpsyandex-ruclckjsredirfromyandex-rusearchwebInformation retrievalmeijmeij-comMicroblogsResult mergingTime seriesTREC MicroblogTwitterutilizing-knowledge-graphs-in-text-centric-information-retrievalwsdm-2016wwwmeij-cpm

WSDM 2014, a recap

Fast and Space-Efficient Entity Linking in Queries

2 thoughts on “Time-Aware Rank Aggregation for Microblog Search”

  1. ktao
    28/08/2014 at 11:20

    The doi link – “http://doi.acm.org/10.1145/1645953.1646215” – in the bibtex points to a different paper:

    Reply
    • Edgar Meij
      01/09/2014 at 12:51

      Yes, you’re right, thanks!

      Reply
Leave a Reply Cancel reply

Time limit is exhausted. Please reload CAPTCHA.

Edgar Meij logo

Welcome!

This is the website of Edgar Meij. I lead several groups of researchers and engineers at Bloomberg working on knowledge graphs, question answering, information retrieval, machine learning, and more…

Search

Tweets by @edgarmeij

Tags

AIDA Artificial Intelligence CLEF DBpedia Document priors edgar-meij entity-linking-and-retrieval entity-linking-and-retrieval-tutorial entity-linking-tutorial Entity finding Entity linking Information retrieval Knowledge base population Knowledge Graph Language modeling Linking Open Data LOD logo-penerbit-buku-internasional Lucene Machine learning meij MeSH Microblogs penerbit-buku-internasional Query log analysis Query modeling Relevance modeling Semanticizing Semantic linking Semantic query analysis Semantic search Teaching Text mining TREC Blog TREC Enterprise TREC Genomics TREC KBA TREC Microblog TREC Relevance Feedback Tutorial Twitter Web services Wikipedia Workflows Workshop
Proudly powered by WordPress | Theme: Doo by ThemeVS.