Author of the publication

Scienstein: A Research Paper Recommender System

, , and . Proceedings of the International Conference on Emerging Trends in Computing, page 309--315. (January 2009)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Stereotype and Most-Popular Recommendations in the Digital Library Sowiport., , , , and . ISI, volume 70 of Schriften zur Informationswissenschaft, page 96-108. Verlag Werner Hülsbusch, (2017)Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)., and . ECIR (2), volume 11438 of Lecture Notes in Computer Science, page 383-388. Springer, (2019)Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef., , , , and . ECIR, volume 10193 of Lecture Notes in Computer Science, page 770-774. (2017)A Novel Approach to Recommendation Algorithm Selection using Meta-Learning., , and . AICS, volume 2259 of CEUR Workshop Proceedings, page 210-219. CEUR-WS.org, (2018)BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation?, , , , and . RecSys (Late-Breaking Results), volume 2431 of CEUR Workshop Proceedings, page 6-10. CEUR-WS.org, (2019)Mr. DLib's Architecture for Scholarly Recommendations-as-a-Service., , and . AICS, volume 2259 of CEUR Workshop Proceedings, page 78-89. CEUR-WS.org, (2018)ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers., , , and . AICS, volume 2259 of CEUR Workshop Proceedings, page 162-173. CEUR-WS.org, (2018)Scienstein: A Research Paper Recommender System, , and . Proceedings of the International Conference on Emerging Trends in Computing, page 309--315. (January 2009)The Architecture of Mr. DLib's Scientific Recommender-System API., , and . CoRR, (2018)Darwin & Goliath: a white-label recommender-system as-a-service with automated algorithm-selection., , and . RecSys, page 534-535. ACM, (2019)