yusuke1997/dblp-id-title huggingface dataset:
Flexible Querying in Geo-Finder
Recommending Third-party Library Updates with LSTM Neural Networks
Geometric Perspectives of the BM25
Empathic Inclination from Digital Footprints
Comparing ANOVA Approaches to Detect Significantly Different IR Systems
Neural IR for Domain-Specific Tasks
Sentence-Based Active Learning Strategies for Information Extraction
On the Role of Time and Sessions in Diversifying Recommendation Results
The CLAIRE Visual Analytics System for Analysing IR Evaluation Data
Tag Clouds and Retrieved Results: The CloudCredo Mobile Clustering Engine and its Evaluation
Orthogonal Negation for Document Re-ranking
Error-Correcting Output Codes for Multi-Label Text Categorization
Cold-start Management in POI Recommendation via Reinforcement Learning and Spatial Proximity Exploration
Sequential Modeling in Vector Space
Injecting Sentiment Information in Context-aware Convolutional Neural Networks
On the Probabilistic Logical Modelling of Quantum and Geometrically-Inspired IR
Garbled-Word Embeddings for Jumbled Text
Data Protection in Data-Driven IR Systems
Investigating Subspace Distances in Semantic Spaces
Comparing Word Sense Disambiguation and Distributional Models for Cross-Language Information Filtering
Semantic interpretability of latent factors for recommendation
Basis of a Formal Framework for Information Retrieval Evaluation Measurements
Distant Supervision for Relation Extraction Using Tree Kernels
Neural Web Crawling
OKgraph: Unsupervised Structured Data Extraction from Plain Text
On the Application of a Common Theoretical Explainability Framework in Information Retrieval
Web Information Retrieval for Complex Not-Informational Intents: An Introduction to User Intent Analysis
A Game Theory Approach to Feature Selection for Text Classification
Seismic: Efficient and Effective Retrieval over Learned Sparse Representation
Interpretable Ranking Using LambdaMART (Abstract)
Auditing Deep Learning processes through Kernel-based Explanatory Models
An Analysis of User Click Behaviour in Online Hotel Search
Letting Users Assist What to Watch: An Interactive Query-by-Example Movie Recommendation System
Diffusion Models for Recommendation: Reproducibility and Conceptual Mismatch
Scaling up the Mining of Semantically-enriched Trajectories: TripBuilder at the World Level
Enhancing Adversarial Authorship Verification with Data Augmentation
Temporal Semantic Analysis and Visualization of Words
Multilingual Document Classification via Transductive Learning
SOUR an Outliers Detection Algorithm in Learning to Rank (Abstract)
Experimenting Text Summarization Techniques for Contextual Advertising
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems
Schema-aware Feature Selection in Linked Data-based Recommender Systems
Proceedings of the 4th Italian Information Retrieval Workshop, Pisa, Italy, January 16-17, 2013
Content-Based Multimedia Recommendation Systems: Definition and Application Domains
IR Systems Evaluation via Generalized Linear Models
The Axiometrics Project
Searching and Ranking Activity-based Carpooling Ride
Sustainability driven Recommender Systems
Eclipse: Leveraging Pseudo-Irrelevance for Dimension Importance Estimation
Top-N Recommendations from Implicit Feedback Leveraging Linked Open Data
Transductive Distributional Correspondence Indexing for Cross-Domain Topic Classification
Media Monitoring using News Recommenders
A Methodology for Analyzing Web Search Results
Cold Start Problem: a Lightweight Approach at ECML/PKDD 2011 - Discovery Challenge
How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation
Detection of Similar Terrorist Events
Information Evolution Modeling and Tracking: State-of-Art, Challenges and Opportunities
Retrieve Volunteered Geographic Information for Forest Fire
Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), Cagliari, Italy, September 3-5, 2025
GUapp: Enhancing Job Recommendations with Knowledge Graphs
Virtual Document-based Methods for Keyword Search on RDF Graphs
GrOnto: A Granular Ontology for Diversifying Search Results
A Query Expansion Method based on a Weighted Word Pairs Approach
A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract)
A Query Algebra for Quantum Information Retrieval
Extracting Relations from Italian Wikipedia using Unsupervised Information Extraction
Accelerating Learned Sparse Indexes Via Term Impact Decomposition
Semantic Re-ranking in Ad-hoc Robust Retrieval
Effective and Transparent Course Recommendation through Causal Reasoning with Language Models
Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods
Empowered or Lost? How Search Tools and Social Networks Shape Teen Learning in an AI World
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), Pisa, Italy, June 8-9, 2023
Word Embeddings Go to Italy: A Comparison of Models and Training Datasets
An Emotion-driven Approach for Aspect-based Opinion Mining
Assessing the Semantic Difficulty of Queries
ProcessFast, a Java Framework for Development of Concurrent and Distributed Applications
Personalization in BERT with Adapter Modules and Topic Modelling
QuickRank: a C++ Suite of Learning to Rank Algorithms
Knowledge is Power: Boosting Recommender Systems by Infusing LLMs with Domain Expertise
Modeling Emergent Associations of Nominal Compound: Ongoing Research and Preliminary Results
Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks
Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS
FashionSearch++: Improving Consumer-to-Shop Clothes Retrieval with Hard Negatives
Selecting Features for Ordinal Text Classification
Liquid FM: Recommending Music through Viscous Democracy
The Need of Structured Data: Introducing the OKgraph Project
An Analysis of a Methodology and Experimental Results for the Retrieval of Clinical Trials
Una Strategia di Ranking di Attività Commerciali Basata su User Generated Content
An IR-Based Approach for Tag Recommendation
User-Item Group Formation with GroupFinder
Scales of Evaluation Measures: From Theory to Experimentation
Un Prototipo per la Ricerca di Opinioni sui Blog dedicati alle Trasmissioni Televisive d'Interesse Nazionale
Movie Recommendation with DBpedia
How Topic and System Size Affect the Correlation among Evaluation Measures
Comparing Recommendation Losses under Negative Sampling
Beyond Homogeneous Users: Simulating Diverse User Personas for Conversational Recommendation Datasets
Evaluating Recommendations in a User Interface With Multiple Carousels
Visual Recognition in the EAGLE Project
AURYGA: A Recommender System for Game Tagging
Representing, Tracking and Revising the User's Knowledge: A Search Result Filter Framework
A Flexible Tool for Cross-Collection Patent Search
Multidimensional Relevance in Legal and Health Domains
Quality and Diversity of Recommender Systems Users' Choices: a Simulation Perspective
From Terms to Concepts: A Revisited Approach to Local Context Analysis
Sentiment Estimation on Twitter
Less Data, More Questions: Fairness and Accuracy Under Data Minimization in Recommender Systems
Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval
Visual Interactive Failure Analysis: Supporting Users in Information Retrieval Evaluation
Group Dynamic and Group Recommender Systems for Decision Support
Markov Precision: Modelling User Behaviour over Rank and Time
Hierarchical Text Classification for Supporting Educational Programs
Lean and Green: Computational Efficiency and Nudging for Sustainable Fashion Recommendation
Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems
Three views of a secret: Embracing multiple perspectives in the evaluation of information retrieval and recommender systems
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
SE-PQA: StackExchange Personalized Community Question Answering
An Approach to the Design and Evaluation of an Enterprise Search Application
Economic Evaluation of Recommender Systems: A Proposal
A Flexible Extension of XQuery Full-Text
A Grading Methodology for E-commerce Reviews based on a Mixed Lexical-semantic Approach
Understanding Human Mobility During Events in Foursquare
Proceedings of the 7th Italian Information Retrieval Workshop, Venezia, Italy, May 30-31, 2016
Keyword Extraction for Improved Document Retrieval in Conversational Search
A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks
The Roots and the Tree of Information Retrieval in Italy
Proceedings of the 9th Italian Information Retrieval Workshop, Rome, Italy, May, 28-30, 2018
Replication of Recommender Systems with Impressions
Definition of User Profiles Based on the YAGO Ontology
Exploiting Multiple Action Types in Recommender Systems
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification
Relational Search and its Application to Investigative Intelligence Scenarios
Myusic: a Content-based Music Recommender System based on eVSM and Social Media
Semantic is Beautiful: Clustering and Diversifying Search Results with Graph-based Word Sense Induction
From Traditional IR to Broader IR
Preference Elicitation for Group Recommender Systems
Inverse Reinforcement Learning and Point of Interest Recommendations
Proceedings of the 2nd Italian Information Retrieval (IIR) Workshop, Milan, Italy, January 27-28, 2011
Strategie di Classificazione per Servizi di Search della Pubblica Amministrazione
MOWIS: A System for Building Multimedia Ontologies from Web Information Sources
Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models
Electoral Predictions with Twitter: A Machine-Learning approach
Component-Based Evaluation Using GLMM
On Suggesting Entities as Web Search Queries
Toward Effective Fashion Item Compatibility Modelling
An Investigation on the Impact of Natural Language on Conversational Recommendations
Classical vs. Crowdsourcing Surveys for Eliciting Geographic Relevance Criteria
Leveraging LLM-Powered Multi-Agent Systems to Enhance Customer Experience in Complex Product Domains
Conversational Query Revision with a Finite User Profiles Model
Revisiting Retrieval-based Approaches for Conversational Recommender Systems
Natat in Cerebro: Intelligent Information Retrieval for "The Guillotin" Language Game
Heterogeneous Data Co-Clustering by Pseudo-Semantic Affinity Functions
Enhancing Ground Truth Creation for IR Through Web-Based Collaborative Annotation
Estensione dei Metodi di Ranking mediante Analisi dell'Interspaziatura fra Occorrenze
Experimenting a Visual Attention Model in the Context of CBIR Systems
Content Representation and Analysis: the Magic Project and the Illuminated Dante Project Integrated Systems for Multimedia Information Retrieval
Google Web Searches and Wikipedia Results: A Measurement Study
Proceedings of the 10th Italian Information Retrieval Workshop, Padova, Italy, September 16-18, 2019
Proceedings of the 5th Italian Information Retrieval Workshop, Roma, Italy, January 20-21, 2014
LambdaFair: a Fair and Effective LambdaMART
How Well Do We Know Bernoulli?
A Modular Approach to Topic Modeling for Heterogeneous Documents
Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models
First Steps Beyond the Bag-Of-Words Representation of Short Texts
Fairness of Exposure in Forensic Face Rankings
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation
Gamification in Information Retrieval: State of the Art, Challenges and Opportunities
Entity Linking on Philosophical Documents
Comparing LLMs and Traditional Privacy Measures to Evaluate Query Obfuscation Approaches
Evaluation of a Recursive Weighting Scheme for Federated Web Search
CLEF 2000-2014: Lessons Learnt from Ad Hoc Retrieval
Addressing Privacy in Recommender Systems with Federated Learning
Investigating the Use of Extractive Summarisation in Sentiment Classification
Web Information Foraging
Towards a Human in the Loop Approach to Preserve Privacy in Images
Sull'Uso di Meno Topics nelle Iniziative di Valutazione per l'Information Retrieval
Sensitive-aware Privacy Index for Sanitized Text Data
Incremental Mixture of Normalizing Flows for Dynamic Topic Modelling
HNews: An Enhanced Multilingual Hyperlinking News Platform
User Evaluation of Multidimensional Relevance Assessment
Beyond the Parameters: Measuring Actual Privacy in Obfuscated Texts
QuestionCube: a Framework for Question Answering
Representation of Word Sentiment, Idioms and Senses
Analysis of Term Roles Along Taxonomy Nodes by Adopting Discriminant and Characteristic Capabilities
Do Hard Topics Exist? A Statistical Analysis
A Collaborative Multi-Agent Approach to Web Information Foraging
Using Micro-Documents for Feature Selection: The Case of Ordinal Text Classification
Exploiting Wikipedia to Identify Domain-Specific Key Terms/Phrases from a Short-Text Collection
Turning on a DIME: Estimating Dimension Importance for Dense Information Retrieval
PARK: Personalized Academic Retrieval with Knowledge-graphs
Post-Learning Optimization of Tree Ensembles
Recent Advances in Energy Efficient Query Processing
Un Approccio per la Valutazione della Credibilità del Contenuto Generato dagli Utenti nei Siti di Recensioni
Pre-Trained LLM Embeddings of Product Reviews for Recommendation
Un'Analisi del Mondo del Lavoro e un Modello Predittivo per Potenziali Nuove Occupazioni (An Analysis of the Job Market and a Predictive Model for Potential New Jobs)
Conversational-Agent for Patient Information Leaflet
Feature Selection via Quantum Annealers for Ranking and Classification Tasks
Fast and Compact Hamming Distance index
GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles
Thinking of a System for Image Retrieval
Algebraic Compositional Models for Semantic Similarity in Ranking and Clustering
Holistic Summarization of Recommender Systems Results
Explicit Semantic Analysis for Enriching Content-Based User Profiles
User-friendly Query Interfaces for the HOPE Project
A Dataset for Joint Conversational Search and Recommendation
From Entities to Geometry: Towards Exploiting Multiple Sources to Support Relevance Prediction
A Framework for Visual Search in Broadcast archives
The CAMEO Project: A Holistic View for Conversational Agents
MDCU: A Multi-Dimensional Cumulative Utility Metric for Information Retrieval
Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario
INSEARCH: A Platform for Enterprise Semantic Search
It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos
Social Approach to Context-Aware Retrieval
A Collaborative Ranking Model with Contextual Similarities for Venue Suggestion
Uncertain Graphs meet Collaborative Filtering
An Overview on Evaluation Labs and Open Issues in Health-related Credible Information Retrieval
Consumer Fairness Benchmark in Recommendation
Measuring Gender Stereotype Reinforcement in Information Retrieval Systems
Re-Thinking Re-Ranking
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective
Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract)
A Preliminary Comparison of Job, Talent, and Web Search
Investigating Mixture of Experts in Dense Retrieval
LearNext: Learning to Predict Tourists Movements
A Preliminary Study on a Recommender System for the Million Songs Dataset Challenge
Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting
Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned
Indexing 100M Images with Deep Features and MI-File
Using an Ensemble of Features for Personalized Recommendations of Scientific Publications
Distributional Representation of Words for Small Corpora using Pre-training Techniques
Towards a Repository for Information Retrieval Runs
Proceedings of the 8th Italian Information Retrieval Workshop, Lugano, Switzerland, June 05-07, 2017
The Collaboration Potential, an Index to Assess the Roles of Scientists in their Coauthorship Networks
Enabling Enterprise Semantic Search through Language Technologies: the ProgressIt Experience
Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity
A Compositional Perspective in Convolution Kernels
A Flexible XML Query Language for NON Dummies
Adaptive Diversity in Recommender Systems
Speeding-up Document Scoring with Tree Ensembles using CPU SIMD Extensions
Serendipitous Encounters along Dynamically Personalized Museum Tours
Disjunctive Boolean Kernels-based Collaborative Filtering for top-N Item Recommendation
Automatic Feature Engineering for Italian Question Answering Systems
SKET X: A Visual Analytics Tool for Explaining Knowledge Extraction Results
An Analysis of Local Explanation with LIME-RS
TV-Show Retrieval and Classification
A Game of Lines: Developing Game Mechanics for Text Classification
A Spatial Approach to Predict Performance of Conversational Search Systems
Developing a Semantic Content Analyzer for L'Aquila Social Urban Network
Towards an Information Retrieval Evaluation Library
Integrating Named Entities in a Semantic Search Engine
New Research Directions in Search Results Clustering
Predicting the Topics to Review in Preparation of Your Next Meeting
Yaanii: Effective Keyword Search over Semantic Dataset
An Approach to Event-based Dynamic User Profiling in Social Media
A Cluster Manipulation Paradigm for Mobile Web Search Interaction
Behaviour-aware Tourist Profiles Data Generation
Sparse Embeddings for Recommender Systems with Knowledge Graphs
What-If Analysis: A Visual Analytics Approach to Information Retrieval Evaluation
Proceedings of the 6th Italian Information Retrieval Workshop, Cagliari, Italy, May 25-26, 2015
Estimate Features Relevance for Groups of Users
Graph Augmentation with LLMs for Knowledge-Aware Recommender Systems
Wikipedia-based Unsupervised Query Classification
Random Indexing for Content-Based Recommender Systems
Beyond Relevance: Quantifying Distraction of Irrelevant Passages in RAG
Serendipity and Diversity Boosting for Personalized Streaming Media Recommendation
Discovering Latent Depression Patterns in Online Social Media
Search Personalization: Which Information and How?
Leveraging Semantic Embeddings of User Reviews with Off-the-Shelf LLMs for Recommender Systems
Can We Infer Book Classification by Blurbs?
Reading Songs: A Computational Analysis of Popular Songs lyrics
Reproducing and Prototyping Recommender Systems in R
IR Models Based on Network Science: A Research Agenda
Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks
Using Snippets in Text Summarization: a Comparative Study and an Application
Quantum-inspired Multimodal Representation
Integrating Ratings and Pairwise Preferences in Recommender Systems
Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation
A Study on Manual Query Reformulation for Systematic Medical Reviews
Are There New BM25 Expectations?
Opinion and Factivity Analysis of Italian Political Discourse
Siren Federate: Bridging Document, Relational, and Graph Models for Exploratory Graph Analysis
A Review of Ten Year Research on Query Log Privacy
AI-based Decision Support Systems for the Management of E-rocurement Procedures
Incorporating Cognitive Complexity of Text in Dense Retrieval for Personalized Search
Automated Taxonomy Building by Adopting Discriminant and Characteristic Capabilities
Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists
SPARQL/T A query language with SPARQL's syntax for semantic mining of textual complaints
Exploring Relevance in Microblog Search
Annotation and Extraction of Relations from Italian Medical Records
Mining Software Repositories to Support OSS Developers: A Recommender Systems Approach
Unveiling the Potential of Recommender Systems through Multi-Objective Metrics
Proceedings of the 3rd Italian Information Retrieval Workshop, Bari, Italy, January 26-27, 2012
Knowledge Enhanced Representations for Clinical Decision Support
A Study on a Mixed Stopping Strategy for Total Recall Tasks
Quantum Contextual Information Access and Retrieval
Comparatively Assessing Large Language Models for Query Expansion in Information Retrieval via Zero-Shot and Chain-of-Thought Prompting
Feature Selection for Emotion Classification
A Progressive Visual Analytics Tool for Incremental Experimental Evaluation
Exploiting ERP Systems in Enterprise Search
PolyRecs: Improving Page-View Rates Using Real-Time Data Analysis
Enabling Real-Time Business Intelligence - 4th International Workshop, BIRTE 2010, Held at the 36th International Conference on Very Large Databases, VLDB 2010, Singapore, September 13, 2010, Revised Selected Papers
Towards a real-time unsupervised estimation of predictive model degradation
Adaptive Processing of Multi-Criteria Decision Support Queries
A Visual Interface for Analyzing Text Conversations
Business Process Learning for Real Time Enterprises
Real-Time Acquisition of Buyer Behaviour Data - The Smart Shop Floor Scenario
Data Mining in Life Sciences: A Case Study on SAPs In-Memory Computing Engine
QoS-Aware Publish-Subscribe Service for Real-Time Data Acquisition
Demo: Dynamic Generation of Adaptive Real-Time Dashboards for Continuous Data Stream Processing
Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, Kohala Coast, HI, USA, August 31, 2015, BIRTE 2016, New Delhi, India, September 5, 2016, BIRTE 2017, Munich, Germany, August 28, 2017, Revised Selected Papers
Near Real-Time Data Warehousing Using State-of-the-Art ETL Tools
What Can Hierarchies Do for Data Streams?
A Scalable Heterogeneous Solution for Massive Data Collection and Database Loading
A Near Real-Time Personalization for eCommerce Platform
Scalable Social Graph Analytics Using the Vertica Analytic Platform
Scaling Ordered Stream Processing on Shared-Memory Multicores
Streams and Tables: Two Sides of the Same Coin
Instant-On Scientific Data Warehouses - Lazy ETL for Data-Intensive Research
The Reality of Real-Time Business Intelligence
Detection of Highly Correlated Live Data Streams
Efficient Pattern Detection Over a Distributed Framework
Arcon: Continuous and Deep Data Stream Analytics
Quality Contracts for Real-Time Enterprises
Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective
Merging OLTP and OLAP - Back to the Future - (Panel)
Augmenting Tables by Self-supervised Web Search
Towards Automated Data Integration in Software Analytics
Real-time ETL in Striim
Ubiq: A Scalable and Fault-Tolerant Log Processing Infrastructure
Two-Phase Data Warehouse Optimized for Data Mining
Towards Exploratory OLAP Over Linked Open Data - A Case Study
Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems
MemcacheSQL A Scale-Out SQL Cache Engine
Query Adaptation and Privacy for Real-Time Business Intelligence - Extended Abstract
Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration
Multi-engine Analytics with IReS
Blink: Not Your Father's Database!
Beyond Conventional Data Warehousing - Massively Parallel Data Processing with Greenplum Database - (Invited Talk)
Big Scale Text Analytics and Smart Content Navigation
Towards Dynamic Data Placement for Polystore Ingestion
Ad-Hoc Queries over Document Collections - A Case Study
Strategic Management for Real-Time Business Intelligence
Live Analytics Service Platform
Temporal Knowledge for Timely Intelligence
FAST: Fragment Assisted Storage for efficient query execution in read-only databases
ASSET Queries: A Set-Oriented and Column-Wise Approach to Modern OLAP
The Inverted Data Warehouse Based on TARGIT Xbone - How the Biggest of Data Can Be Mined by "The Little Guy"
On Solving Efficiently the View Selection Problem under Bag-Semantics
Callisto: Mergers Without Pain
Comparing Global Optimization and Default Settings of Stream-Based Joins - (Experimental Paper)