Similarity Analysis for Citation Recommendation System using Binary Encoded Data
- Title
- Similarity Analysis for Citation Recommendation System using Binary Encoded Data
- Creator
- Nair A.M.; George J.P.; Gaikwad S.M.
- Description
- Citations are a crucial part of an academic dissertation, project or scientific work. The most time-consuming task for any scholar is to find suitable citations for any work. Thus, a convenient citation recommendation system provides completeness and fulfillment for citing the giants' works. Moreover, attaining high quality for any citation recommendation system is challenging as it should not only recommend relevant papers but also should match the context of the paper. An advanced algorithm SABED (Similarity Analysis using Binary Encoded Data) has been proposed that converts text metadata of the article like author name, doi of the paper, keywords, abstract and content of the paper into the binary format and is fired into the database. The binary formatted query fired fetches the accurate matches thereby increasing the accuracy of search probability and similarity analysis. This similarity analysis can be further used to provide recommendations to the users. The proposed system concentrates on the similarity of the content and hence the context of the papers is not taken into consideration. 2020 IEEE.
- Source
- 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
- Date
- 2020-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Binary-Encoded; Citation Recommendation System; Content; Metadata; Similarity Analysis
- Coverage
- Nair A.M., CHRIST(Deemed to Be University), Department of Computer Science, India; George J.P., CHRIST(Deemed to Be University), Department of Computer Science, India; Gaikwad S.M., CHRIST(Deemed to Be University), Department of Computer Science, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-172817116-6
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Nair A.M.; George J.P.; Gaikwad S.M., “Similarity Analysis for Citation Recommendation System using Binary Encoded Data,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20702.