Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Farshad Bakhshandegan Moghaddam"'
Publikováno v:
2022 IEEE 16th International Conference on Semantic Computing (ICSC)
IEEE International Conference on SEMANTIC COMPUTING (ICSC)
IEEE International Conference on SEMANTIC COMPUTING (ICSC)
The last decades have witnessed significant advancements in terms of data generation, management, and maintenance especially in the area of data lakes, and heterogeneous data. This has resulted in vast amounts of data becoming available in a variety
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea232f72691ea43cd4b5612da250eadd
https://zenodo.org/record/7669258
https://zenodo.org/record/7669258
Autor:
Carsten Felix Draschner, Farshad Bakhshandegan Moghaddam, Claus Stadler, Jens Lehmann, Hajira Jabeen
Publikováno v:
CIKM
Proceedings of the 30th ACM International Conference on Information & Knowledge Management
Proceedings of the 30th ACM International Conference on Information & Knowledge Management
This paper presents DistRDF2ML, the generic, scalable, and distributed framework for creating in-memory data preprocessing pipelines for Spark-based machine learning on RDF knowledge graphs. This framework introduces software modules that transform l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8f1a0d8ab15b69e12bd216fe0c428f4
https://zenodo.org/record/7665860
https://zenodo.org/record/7665860
Publikováno v:
2023 IEEE 17th International Conference on Semantic Computing (ICSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42b936c9895d480039a873c3287a6ab9
https://doi.org/10.1109/icsc56153.2023.00040
https://doi.org/10.1109/icsc56153.2023.00040
Autor:
Philipp Monreal, Peter Knees, Farshad Bakhshandegan Moghaddam, Yashar Deldjoo, Gerard-Paul Leyson, Jens Adamczak
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 12:1-20
In 2019, the Recommender Systems Challenge [17] dealt for the first time with a real-world task from the area of e-tourism, namely the recommendation of hotels in booking sessions. In this context, we present the release of a new dataset that we beli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2abb38fb7815740e4804fe3da25c287a
https://doi.org/10.1145/3412379
https://doi.org/10.1145/3412379
Publikováno v:
Studies on the Semantic Web
Studies on the Semantic Web-Further with Knowledge Graphs
SEMANTiCS 2021
Studies on the Semantic Web-Further with Knowledge Graphs
SEMANTiCS 2021
The last decades have witnessed significant advancements in terms of data generation, management, and maintenance. This has resulted in vast amounts of data becoming available in a variety of forms and formats including RDF. As RDF data is represente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6a280e9055f660538a4ef047a3aac7e
https://doi.org/10.3233/ssw210036
https://doi.org/10.3233/ssw210036
Autor:
Nabil El Ioini, Marko Tkalcic, Christoph Trattner, Mohammad Hossein Rimaz, Reza Hosseini, Mehdi Elahi, Tammam Tillo, Farshad Bakhshandegan Moghaddam
Publikováno v:
UMAP (Adjunct Publication)
This paper addresses the so-called New Item problem in video Recommender Systems, as part of Cold Start. New item problem occurs when a new item is added to the system catalog, and the recommender system has no or little data describing that item. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b07884fc73c6401f2a420d73ca0a8f1
https://doi.org/10.1145/3450614.3461687
https://doi.org/10.1145/3450614.3461687
Publikováno v:
Service-Oriented Computing – ICSOC 2020 Workshops ISBN: 9783030763510
ICSOC Workshops
ICSOC Workshops
From the early years, the research on recommender systems has been largely focused on developing advanced recommender algorithms. These sophisticated algorithms are capable of exploiting a wide range of data, associated with video items, and build qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::916cc3078fb6131f9d664b2bc95d2245
https://doi.org/10.1007/978-3-030-76352-7_35
https://doi.org/10.1007/978-3-030-76352-7_35
Autor:
Mehdi Elahi, Mohammad Hossein Rimaz, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini
Publikováno v:
HT
Recommender Systems have become essential tools in any modern video-sharing platform. Although, recommender systems have shown to be effective in generating personalized suggestions in video-sharing platforms, however, they suffer from the so-called
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a06f89ea748b4f4894670ab089f1557e
https://doi.org/10.1145/3372923.3404778
https://doi.org/10.1145/3372923.3404778
Publikováno v:
Procedia Computer Science. 137:223-234
Natural language understanding tasks are key to extracting structured and semantic information from text. One of the most challenging problems in natural language is ambiguity and resolving such ambiguity based on context including temporal informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9826fbb7584298b1b1fb033719d70b13
https://doi.org/10.1016/j.procs.2018.09.021
https://doi.org/10.1016/j.procs.2018.09.021
EXTRA: EXpertise-Boosted Model for Trust-Based Recommendation System Based on Supervised Random Walk
Publikováno v:
COMPUTING AND INFORMATICS; Vol 37, No 5 (2018): Computing and Informatics; 1209-1230
The quality of recommendations based on any class of recommender systems may become poor if no or low quality data has been provided by users.This is a situation known as Cold Start problem, which typically happens when a new user registers to the sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e7975c2be8de2ee4788d0ddd139ce92
https://doi.org/10.4149/cai_2018_5_1209
https://doi.org/10.4149/cai_2018_5_1209