Mohammad Aliannejadi

research

∙ 05/18/2023

Query Performance Prediction: From Ad-hoc to Conversational Search

Query performance prediction (QPP) is a core task in information retriev...

0 Chuan Meng, et al. ∙

research

∙ 05/03/2023

Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts

We investigate the usefulness of generative Large Language Models (LLMs)...

0 Arian Askari, et al. ∙

research

∙ 05/01/2023

On the Impact of Outlier Bias on User Clicks

User interaction data is an important source of supervision in counterfa...

0 Fatemeh Sarvi, et al. ∙

research

∙ 04/26/2023

Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond

This research aims to explore various methods for assessing user feedbac...

0 Paul Owoicho, et al. ∙

research

∙ 02/14/2023

Market-Aware Models for Efficient Cross-Market Recommendation

We consider the cross-market recommendation (CMR) task, which involves r...

0 Samarth Bhargav, et al. ∙

research

∙ 12/16/2022

Experiments on Generalizability of BERTopic on Multi-Domain Short Text

Topic modeling is widely used for analytically evaluating large collecti...

0 Muriël de Groot, et al. ∙

research

∙ 08/22/2022

Towards Confidence-aware Calibrated Recommendation

Recommender systems utilize users' historical data to learn and predict ...

0 Mohammadmehdi Naghiaei, et al. ∙

research

∙ 05/27/2022

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022

Human intelligence has the remarkable ability to adapt to new tasks and ...

0 Julia Kiseleva, et al. ∙

research

∙ 05/17/2022

Experiments on Generalizability of User-Oriented Fairness in Recommender Systems

Recent work in recommender systems mainly focuses on fairness in recomme...

0 Hossein A. Rahmani, et al. ∙

research

∙ 05/05/2022

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021

Human intelligence has the remarkable ability to quickly adapt to new ta...

0 Julia Kiseleva, et al. ∙

research

∙ 04/26/2022

Understanding User Satisfaction with Task-oriented Dialogue Systems

Dialogue systems are evaluated depending on their type and purpose. Two ...

0 Clemencia Siro, et al. ∙

research

∙ 04/17/2022

Evaluating Mixed-initiative Conversational Search Systems via User Simulation

Clarifying the underlying user information need by asking clarifying que...

0 Ivan Sekulić, et al. ∙

research

∙ 02/07/2022

Mental Disorders on Online Social Media Through the Lens of Language and Behaviour: Analysis and Visualisation

Due to the worldwide accessibility to the Internet along with the contin...

0 Esteban A. Ríssola, et al. ∙

research

∙ 01/21/2022

Towards Building Economic Models of Conversational Search

Various conceptual and descriptive models of conversational search have ...

0 Leif Azzopardi, et al. ∙

research

∙ 01/20/2022

A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation

As the popularity of Location-based Social Networks (LBSNs) increases, d...

0 Hossein A. Rahmani, et al. ∙

research

∙ 01/10/2022

Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation

Recommender Systems (RSs) aim to model and predict the user preference w...

11 Kosar Seyedhoseinzadeh, et al. ∙

research

∙ 12/21/2021

Understanding and Mitigating the Effect of Outliers in Fair Ranking

Traditional ranking systems are expected to sort items in the order of t...

0 Fatemeh Sarvi, et al. ∙

research

∙ 10/13/2021

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment

Human intelligence has the remarkable ability to adapt to new tasks and ...

0 Julia Kiseleva, et al. ∙

research

∙ 09/14/2021

The Impact of User Demographics and Task Types on Cross-App Mobile Search

Recent developments in the mobile app industry have resulted in various ...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 09/13/2021

BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search

A unified mobile search framework aims to identify the mobile apps that ...

0 Negin Ghasemi, et al. ∙

research

∙ 09/13/2021

Keyword Extraction for Improved Document Retrieval in Conversational Search

Recent research has shown that mixed-initiative conversational search, b...

0 Oleg Borisov, et al. ∙

research

∙ 09/13/2021

Analysing Mixed Initiatives and Search Strategies during Conversational Search

Information seeking conversations between users and Conversational Searc...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 09/13/2021

Cross-Market Product Recommendation

We study the problem of recommending relevant products to users in relat...

5 Hamed Bonab, et al. ∙

research

∙ 09/13/2021

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions

Enabling open-domain dialogue systems to ask clarifying questions when a...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 03/10/2021

Ranking Clarifying Questions Based on Predicted User Engagement

To improve online search results, clarification questions can be used to...

0 Tom Lotze, et al. ∙

research

∙ 02/08/2021

User Engagement Prediction for Clarification in Search

Clarification is increasingly becoming a vital factor in various topics ...

0 Ivan Sekulić, et al. ∙

research

∙ 01/25/2021

MICROS: Mixed-Initiative ConveRsatiOnal Systems Workshop

The 1st edition of the workshop on Mixed-Initiative ConveRsatiOnal Syste...

0 Ida Mele, et al. ∙

research

∙ 01/09/2021

Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants

Users install many apps on their smartphones, raising issues related to ...

4 Mohammad Aliannejadi, et al. ∙

research

∙ 12/14/2020

A Canine Census to Influence Public Policy

The potential threat that domestic animals pose to the health of human p...

0 Matias Apa, et al. ∙

research

∙ 11/10/2020

On Estimating the Training Cost of Conversational Recommendation Systems

Conversational recommendation systems have recently gain a lot of attent...

0 Stefanos Antaris, et al. ∙

research

∙ 09/23/2020

ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

This document presents a detailed description of the challenge on clarif...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 09/20/2020

Longformer for MS MARCO Document Re-ranking Task

Two step document ranking, where the initial retrieval is done by a clas...

0 Ivan Sekulić, et al. ∙

research

∙ 08/09/2020

Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search

Recent research on conversational search highlights the importance of mi...

8 Antonios Minas Krasakis, et al. ∙

research

∙ 01/31/2020

A Tool for Conducting User Studies on Mobile Devices

With the ever-growing interest in the area of mobile information retriev...

0 Luca Costa, et al. ∙

research

∙ 01/24/2020

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation

With the popularity of Location-based Social Networks, Point-of-Interest...

0 Hossein A. Rahmani, et al. ∙

research

∙ 12/22/2019

Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval

With the improvements in speech recognition and voice generation technol...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 09/16/2019

A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation

The popularity of location-based social networks (LBSNs) has led to a tr...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 09/14/2019

LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation

With the rapid growth of Location-Based Social Networks, personalized Po...

0 Hossein A. Rahmani, et al. ∙

research

∙ 07/31/2019

Category-Aware Location Embedding for Point-of-Interest Recommendation

Recently, Point of interest (POI) recommendation has gained ever-increas...

0 Hossein A. Rahmani, et al. ∙

research

∙ 07/15/2019

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

Users often fail to formulate their complex information needs in a singl...

3 Mohammad Aliannejadi, et al. ∙

research

∙ 05/22/2019

ANTIQUE: A Non-Factoid Question Answering Benchmark

Considering the widespread use of mobile and voice search, answer passag...

0 Helia Hashemi, et al. ∙

research

∙ 12/17/2018

Understanding Mobile Search Task Relevance and User Behaviour in Context

Improvements in mobile technologies have led to a dramatic change in how...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 07/11/2018

A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion

Recommending venues plays a critical rule in satisfying users' needs on ...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 06/14/2018

Personalized Context-Aware Point of Interest Recommendation

Personalized recommendation of Points of Interest (POIs) plays a key rol...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 05/06/2018

Target Apps Selection: Towards a Unified Search Framework for Mobile Devices

With the recent growth of conversational systems and intelligent assista...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 03/22/2018

Venue Suggestion Using Social-Centric Scores

User modeling is a very important task for making relevant suggestions o...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 01/30/2017

Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data

We experiment graph-based Semi-Supervised Learning (SSL) of Conditional ...

0 Mohammad Aliannejadi, et al. ∙

Mohammad Aliannejadi

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