Around trillions of data are uploaded to the internet every year. Extracting useful information
using only a few keywords has become a major challenge. The field of Query Reformulation …

A large body of research work has proposed verification techniques for rumors spreading in
social media that mainly relied on subjective evidence, eg, propagation networks or user …

The personalized product preference and decision-making recommendation systems are
highly demanded to handle big data and to increase service quality of the e-commerce …

The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation
(NED) at the heart of designing accurate KG-driven systems such as query answering …

Pseudo-relevance feedback is a widely acclaimed technique for information retrieval.
However, traditional information retrieval approaches typically process the original query …

Query expansion is an important approach utilized to improve the efficiency of data retrieval
tasks. Numerous works are carried out by the researchers to generate fair constructive …

Sažetak Query, expressing the user need and requirement, has an important role, in an
information retrieval system, for reaching a high accuracy search. In this paper, we present …

E-learning accounts for the emergence of re-skilling, up-skilling, and augmenting the
traditional education system by providing knowledge delivery. The meaningful learning …

Wikipedia has grown to be the biggest online encyclopedia in terms of comprehensiveness,
reach and coverage. However, although different websites and social network platforms …

Query understanding models extract attributes from search queries, like color, product type,
brand, etc. Search engines rely on these attributes for ranking, advertising, and …