activity
20172021
most citedImproving Performance of Relation Extraction Algorithm via Leveled Adversarial PCNN and Database Expansion

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2021

A Survey of Recent Abstract Summarization Techniques

Diyah Puspitaningrum

This paper surveys several recent abstract summarization methods: T5, Pegasus, and ProphetNet. We implement the systems in two languages: English and Indonesian languages. We inves…

cs.IR2020★ 1 cited

Finding Local Experts for Dynamic Recommendations Using Lazy Random Walk

Diyah Puspitaningrum, Julio Fernando, Edo Afriando +3

Statistics based privacy-aware recommender systems make suggestions more powerful by extracting knowledge from the log of social contacts interactions, but unfortunately, they are…

cs.IR2020★ 2 cited

Improving Performance of Relation Extraction Algorithm via Leveled Adversarial PCNN and Database Expansion

Diyah Puspitaningrum

This study introduces database expansion using the Minimum Description Length (MDL) algorithm to expand the database for better relation extraction. Different from other previous r…

cs.DB2018

cSELENE: Privacy Preserving Query Retrieval System on Heterogeneous Cloud Data

Diyah Puspitaningrum

While working in collaborative team elsewhere sometimes the federated (huge) data are from heterogeneous cloud vendors. It is not only about the data privacy concern but also about…

cs.IR2018

Highly Relevant Routing Recommendation Systems for Handling Few Data Using MDL Principle and Embedded Relevance Boosting Factors

Diyah Puspitaningrum, I. S. W. B. Prasetya, P. A. Wicaksono

A route recommendation system can provide better recommendation if it also takes collected user reviews into account, e.g. places that generally get positive reviews may be preferr…

cs.IR2017

Wiki-MetaSemantik: A Wikipedia-derived Query Expansion Approach based on Network Properties

D. Puspitaningrum, G. Yulianti, I. S. W. B. Prasetya

This paper discusses the use of Wikipedia for building semantic ontologies to do Query Expansion (QE) in order to improve the search results of search engines. In this technique, s…