2 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…