Harmony Assumptions in Information Retrieval and Social Networks
- Submitting institution
-
Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 428
- Type
- D - Journal article
- DOI
-
10.1093/comjnl/bxv031
- Title of journal
- The Computer Journal
- Article number
- -
- First page
- 2982
- Volume
- 58
- Issue
- 11
- ISSN
- 0010-4620
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is a result of a collaboration between Yahoo (Ricardo Baeza-Yates), Barcelona Media (Andreas Kaltenbrunner) and QMUL. Yahoo funded the research over a 1.5 years period. The paper builds on Roelleke's work regarding explanations for TF-IDF (a popular information retrieval (IR) model) and probabilistic retrieval models. The publication shows a series-based explanation of an important IR parameter. There are implications on probability and information theory well beyond IR. Roelleke was invited to present the paper at the LWDA 2017 conference in Potsdam (conference on learning, knowledge and data).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -