Indonesian News Harvester and Recommender System

Adi Wibowo; Rolly Intan; Nydia Valentina

doi:10.21512/comtech.v8i3.3912

Indonesian News Harvester and Recommender System

ComTech Computer Mathematics and Engineering Applications ◽

10.21512/comtech.v8i3.3912 ◽

2017 ◽

Vol 8 (3) ◽

pp. 171 ◽

Cited By ~ 1

Author(s):

Adi Wibowo ◽

Rolly Intan ◽

Nydia Valentina

Keyword(s):

Vector Space ◽

Recommender System ◽

System Architecture ◽

Relevance Feedback ◽

Vector Space Model ◽

Space Model ◽

News Websites ◽

News Recommendation

To provide convenience for the user that frequently read the news, a system to gather, classify, and provide news from several news websites in one place was needed. This system utilized a recommender system to provide only relevant news to the user. This research proposed a system architecture that used vector space model, and Rocchio relevance feedback to provide specific news recommendation to user’s feedback. The results are that the proposed system architecture can achieve the goal by using five levels of feedback from the user. However, the time needed to gather news is increasing exponentially in line with the number of terms gathered from articles.

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A Method to Manage the Precision Difference between Items and Profiles: In a Context of Content-Based Recommender System and Vector Space Model

2013 International Conference on Signal-Image Technology & Internet-Based Systems ◽

10.1109/sitis.2013.62 ◽

2013 ◽

Cited By ~ 2

Author(s):

David Werner ◽

Christophe Cruz

Keyword(s):

Vector Space ◽

Recommender System ◽

Vector Space Model ◽

Space Model

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Improving relevance feedback in the vector space model

Proceedings of the sixth international conference on Information and knowledge management - CIKM '97 ◽

10.1145/266714.266844 ◽

1997 ◽

Cited By ~ 6

Author(s):

Carol Lundquist ◽

David A. Grossman ◽

Ophir Frieder

Keyword(s):

Vector Space ◽

Relevance Feedback ◽

Vector Space Model ◽

Space Model

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Adaptive program filtering under vector space model and relevance feedback

Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693) ◽

10.1109/icmlc.2003.1264527 ◽

2004 ◽

Cited By ~ 1

Author(s):

Zhi-Wen Yu ◽

Xing-She Zhou ◽

Jian-Hua Gu ◽

Xiao-Jun Wu

Keyword(s):

Vector Space ◽

Relevance Feedback ◽

Vector Space Model ◽

Space Model

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FacVector: An Enhanced User Vector Space Model in Recommender System

Journal of Convergence Information Technology ◽

10.4156/jcit.vol7.issue9.12 ◽

2012 ◽

Vol 7 (9) ◽

pp. 92-100

Author(s):

Hongliang Lv ◽

Jinlin Wang ◽

Feng Deng

Keyword(s):

Vector Space ◽

Recommender System ◽

Vector Space Model ◽

Space Model

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A Web Service Recommender System Using Vector Space Model and Latent Semantic Indexing

2011 IEEE International Conference on Advanced Information Networking and Applications ◽

10.1109/aina.2011.99 ◽

2011 ◽

Cited By ~ 9

Author(s):

Nguyen Ngoc Chan ◽

Walid Gaaloul ◽

Samir Tata

Keyword(s):

Vector Space ◽

Web Service ◽

Recommender System ◽

Vector Space Model ◽

Latent Semantic Indexing ◽

Semantic Indexing ◽

Space Model

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Building an E-learning Recommender System Using Vector Space Model and Good Learners Average Rating

10.1109/icalt.2009.161 ◽

2009 ◽

Cited By ~ 24

Author(s):

Khairil Imran Bin Ghauth ◽

Nor Aniza Abdullah

Keyword(s):

Vector Space ◽

Recommender System ◽

Vector Space Model ◽

Space Model ◽

Average Rating ◽

E Learning

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Investigating sample selection bias in the relevance feedback algorithm of the vector space model for Information Retrieval

2014 International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2014.7058056 ◽

2014 ◽

Author(s):

Massimo Melucci

Keyword(s):

Information Retrieval ◽

Vector Space ◽

Selection Bias ◽

Relevance Feedback ◽

Sample Selection ◽

Vector Space Model ◽

Sample Selection Bias ◽

Space Model ◽

Feedback Algorithm

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Vector space model adaptation and pseudo relevance feedback for content-based image retrieval

Multimedia Tools and Applications ◽

10.1007/s11042-017-4463-x ◽

2017 ◽

Vol 77 (5) ◽

pp. 5475-5501 ◽

Cited By ~ 7

Author(s):

H. Karamti ◽

M. Tmar ◽

M. Visani ◽

T. Urruty ◽

F. Gargouri

Keyword(s):

Image Retrieval ◽

Vector Space ◽

Relevance Feedback ◽

Vector Space Model ◽

Content Based Image Retrieval ◽

Model Adaptation ◽

Space Model ◽

Pseudo Relevance Feedback

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Extended Vector Space Model with Semantic Relatedness on Java Archive Search Engine

Jurnal Teknik Informatika dan Sistem Informasi ◽

10.28932/jutisi.v1i2.372 ◽

2015 ◽

Vol 1 (2) ◽

Cited By ~ 2

Author(s):

Oscar Karnalim

Keyword(s):

Vector Space ◽

Search Engine ◽

Vector Space Model ◽

Semantic Relatedness ◽

Space Model

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Aplikasi Deteksi Kemiripan Tugas Paper

Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer ◽

10.30812/matrik.v15i2.39 ◽

2017 ◽

Vol 15 (2) ◽

pp. 5

Author(s):

Anthony Anggrawan ◽

Azhari

Keyword(s):

Information Retrieval ◽

Vector Space ◽

Vector Space Model ◽

Mean Average Precision ◽

Average Precision ◽

Information Searching ◽

Space Model ◽

Model Method

Information searching based on users’ query, which is hopefully able to find the documents based on users’ need, is known as Information Retrieval. This research uses Vector Space Model method in determining the similarity percentage of each student’s assignment. This research uses PHP programming and MySQL database. The finding is represented by ranking the similarity of document with query, with mean average precision value of 0,874. It shows how accurate the application with the examination done by the experts, which is gained from the evaluation with 5 queries that is compared to 25 samples of documents. If the number of counted assignments has higher similarity, thus the process of similarity counting needs more time, it depends on the assignment’s number which is submitted.

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