Today, smartphones are being used to manage almost all aspects of our lives, ranging from
personal to professional. Different users have different requirements and preferences while …

The purpose of recommender systems is to support humans in the purchasing decision-
making process. Decision-making is a human activity based on cognitive information. In the …

Discovering more time-effective and a wider range of adverse drug reactions (ADRs) from
social texts related to feelings concerning taking medication has recently received significant …

Personality traits, continuously affect our lives, from our behavior to our career decisions. It's
possible to design more accurate recommendation systems and develop more efficient …

Recommendation Systems are tools that interpret the users' preferences in an attempt to
generate fitting suggestions. Studies in this domain of research tend to conclude that the …

In recent times, reviews of products by customers have been proliferating on the online
platform. Majority of the reviews are lengthy, and going through the reviews before making a …

In the last decade there have been a large number of proposals in the field of Critique-based
Recommenders. Critique-based recommenders are data-driven in their nature since they …

Mechanisms are provided, in a hierarchical feedback aggregation (HFA) system
implemented in one or more data processing systems, for collecting and presenting user …

MBTI Personality Prediction With Machine Learning Page 1 Makine ÖgrenimiIle MBTI Kisilik Tipi
Tahmini MBTI Personality Prediction With Machine Learning Kaan Sönmezöz Bilgisayar …

Neural network based models have achieved impressive results on the sentence
classification task. However, most of previous work focuses on designing more sophisticated …