Query performance prediction (QPP) is a core task in information retriev...
We investigate the usefulness of generative Large Language Models (LLMs)...
User interaction data is an important source of supervision in counterfa...
This research aims to explore various methods for assessing user feedbac...
We consider the cross-market recommendation (CMR) task, which involves
r...
Topic modeling is widely used for analytically evaluating large collecti...
Recommender systems utilize users' historical data to learn and predict ...
Human intelligence has the remarkable ability to adapt to new tasks and
...
Recent work in recommender systems mainly focuses on fairness in
recomme...
Human intelligence has the remarkable ability to quickly adapt to new ta...
Dialogue systems are evaluated depending on their type and purpose. Two
...
Clarifying the underlying user information need by asking clarifying
que...
Due to the worldwide accessibility to the Internet along with the contin...
Various conceptual and descriptive models of conversational search have ...
As the popularity of Location-based Social Networks (LBSNs) increases,
d...
Recommender Systems (RSs) aim to model and predict the user preference w...
Traditional ranking systems are expected to sort items in the order of t...
Human intelligence has the remarkable ability to adapt to new tasks and
...
Recent developments in the mobile app industry have resulted in various ...
A unified mobile search framework aims to identify the mobile apps that ...
Recent research has shown that mixed-initiative conversational search, b...
Information seeking conversations between users and Conversational Searc...
We study the problem of recommending relevant products to users in relat...
Enabling open-domain dialogue systems to ask clarifying questions when
a...
To improve online search results, clarification questions can be used to...
Clarification is increasingly becoming a vital factor in various topics ...
The 1st edition of the workshop on Mixed-Initiative ConveRsatiOnal Syste...
Users install many apps on their smartphones, raising issues related to
...
The potential threat that domestic animals pose to the health of human
p...
Conversational recommendation systems have recently gain a lot of attent...
This document presents a detailed description of the challenge on clarif...
Two step document ranking, where the initial retrieval is done by a clas...
Recent research on conversational search highlights the importance of
mi...
With the ever-growing interest in the area of mobile information retriev...
With the popularity of Location-based Social Networks, Point-of-Interest...
With the improvements in speech recognition and voice generation technol...
The popularity of location-based social networks (LBSNs) has led to a
tr...
With the rapid growth of Location-Based Social Networks, personalized Po...
Recently, Point of interest (POI) recommendation has gained ever-increas...
Users often fail to formulate their complex information needs in a singl...
Considering the widespread use of mobile and voice search, answer passag...
Improvements in mobile technologies have led to a dramatic change in how...
Recommending venues plays a critical rule in satisfying users' needs on
...
Personalized recommendation of Points of Interest (POIs) plays a key rol...
With the recent growth of conversational systems and intelligent assista...
User modeling is a very important task for making relevant suggestions o...
We experiment graph-based Semi-Supervised Learning (SSL) of Conditional
...