yusuke1997/dblp-id-title huggingface dataset:
Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval
The Paraphrase Search Assistant: Terminological Feedback for Iterative Information Seeking
A database centric view of semantic image annotation and retrieval
YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy
Regularised Cross-Modal Hashing
Applying User Research Directly to Information System Design (panel session)
Posterior probabilistic clustering using NMF
Review-based Multi-intention Contrastive Learning for Recommendation
Towards Better Evaluating Multi-Query Sessions: A Measure Based on the Theory of Planned Behavior
Personal vs non-personal blogs: initial classification experiments
Factuality Checking in News Headlines with Eye Tracking
Implicit Query Parsing at Amazon Product Search
Weakly-supervised Contextualization of Knowledge Graph Facts
A Cross-Platform Collection for Contextual Suggestion
On Stance Detection in Image Retrieval for Argumentation
Would You Ask it that Way?: Measuring and Improving Question Naturalness for Knowledge Graph Question Answering
Optimization strategies for complex queries
Improve collaborative filtering through bordered block diagonal form matrices
Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning
Measuring Influence on Instagram: A Network-Oblivious Approach
Formal multiple-bernoulli models for language modeling
Assessing Support for the TREC 2024 RAG Track: A Large-Scale Comparative Study of LLM and Human Evaluations
Netserf: Using Semantic Knowledge to Find Internet Information Archives
Understanding and using contextual information in recommender systems
Effective music tagging through advanced statistical modeling
Building reputation and trust using federated search and opinion mining
Inter-Category Variation in Location Search
LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search
Web page segmentation with structured prediction and its application in web page classification
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
InfoScout: An Interactive, Entity Centric, Person Search Tool
A maximum coherence model for dictionary-based cross-language information retrieval
The use of unlabeled data to improve supervised learning for text summarization
Evaluating a Visualisation of Image Similarity (poster abstract)
Fast First-Phase Candidate Generation for Cascading Rankers
X-ENS: semantic enrichment of web search results at real-time
The MIND Architecture for Heterogeneous Multimedia Federated Digital Libraries
On rank correlation and the distance between rankings
GammaGL: A Multi-Backend Library for Graph Neural Networks
MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning
Causal Recommendation: Progresses and Future Directions
Simplified Data Wrangling with ir_datasets
Analysis of anchor text for web search
Document clustering with prior knowledge
Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities
On efficient posting list intersection with multicore processors
Non-Hierarchic Document Clustering Using the ICL Distributed Array Processor
Graph Signal Diffusion Model for Collaborative Filtering
Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-on Tutorial
Humor Detection in Product Question Answering Systems
Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval System with the Ability to Focus
Hierarchical classification for automatic image annotation
On hierarchical web catalog integration with conceptual relationships in thesaurus
Sampling Strategies and Active Learning for Volume Estimation
Enhancing personalization via search activity attribution
Improving Retrieval Quality Using Pseudo Relevance Feedback in Content-Based Image Retrieval
Toward an Interactive Patent Retrieval Framework based on Distributed Representations
The data revolution: how companies are transforming with big data
Regularized estimation of mixture models for robust pseudo-relevance feedback
NJUST @ CLSciSumm-18
Elements of the Randomized Combinatorial File Structure
Automatic ranking of retrieval systems in imperfect environments
Carl: Sports Award Recommender
Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web
Flickr group recommendation based on tensor decomposition
Server selection methods in hybrid portal search
Personalized ranking model adaptation for web search
Who said what to whom?: capturing the structure of debates
LEMSS: LLM-Based Platform for Multi-Agent Competitive Search Simulation
A 2-poisson model for probabilistic coreference of named entities for improved text retrieval
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER
UKSearch: search with automatically acquired domain knowledge
Investigating users' query formulations for cognitive search intents
Mining dependency relations for query expansion in passage retrieval
Web Table Extraction, Retrieval and Augmentation
An Approach to Image Retrieval from Large Image Databases
Modern Classical Document Indexing: A Linguistic Contribution to Knowledge-Based IR
Exploring 360-Degree View of Customers for Lookalike Modeling
Efficient Data Structures for Massive N -Gram Datasets
EuroHCIR2013: the 3rd European workshop on human-computer interaction and information retrieval
Interpreting Multilingual and Document-Length Sensitive Relevance Computations in Neural Retrieval Models through Axiomatic Causal Interventions
Document Comprehensiveness and User Preferences in Novelty Search Tasks
Open-Retrieval Conversational Question Answering
Cross-lingual search over 22 european languages
Cross-Domain Recommendation via Clustering on Multi-Layer Graphs
Text Retrieval Priors for Bayesian Logistic Regression
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval
A Probabilistic Reformulation of Memory-Based Collaborative Filtering: Implications on Popularity Biases
Analyses of Multiple Evidence Combination
Estimating global statistics for unstructured P2P search in the presence of adversarial peers
Adaption of String Matching Algorithms for Identification of Near-Duplicate Music Documents
What the Actual...Examining User Behaviour in Information Retrieval
Label Aggregation for Crowdsourcing with Bi-Layer Clustering
Polyrepresentation of Information Needs and Semantic Entities: Elements of a Cognitive Theory for Information Retrieval Interaction
Blog snippets: a comments-biased approach
Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval
Estimating query performance using class predictions
Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings
Fair Recommendation with Biased-Limited Sensitive Attribute
Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization
Deep Pattern Network for Click-Through Rate Prediction
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset
Visual Recommendation Use Case for an Online Marketplace Platform: allegro.pl
Surrogate scoring for improved metasearch precision
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint
An Interactive Database End-User Facility for the Definition and Manipulation of Forms
Hidden Markov models for automatic annotation and content-based retrieval of images and video
Document Reordering is Good, Especially for e-Commerce
Task-aware query recommendation
Reflections on the Coding Ability of LLMs for Analyzing Market Research Surveys
Learning for search result diversification
Exploiting semantics for improving clinical information retrieval
Opinion influence and diffusion in social network
InstInfo: A Just-in-Time Literature Recommendation System for Presentations
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
ServiceGroup: A Human-Machine Cooperation Solution for Group Chat Customer Service
ScholarNodes: Applying Content-based Filtering to Recommend Interdisciplinary Communities within Scholarly Social Networks
Improving Search Engines via Large-Scale Physiological Sensing
Studying Ransomware Attacks Using Web Search Logs
Time-aware Collaborative Topic Regression: Towards Higher Relevance in Textual Item Recommendation
Advances in a Bayesian Decision Model of User Stopping Behaviour for Scanning the Output of an Information Retrieval System
News to go: hierarchical text summarization for mobile devices
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011
Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning
On statistical analysis and optimization of information retrieval effectiveness metrics
The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models
Selecting hierarchical clustering cut points for web person-name disambiguation
Introduction to probabilistic models in IR
TSCAN: a novel method for topic summarization and content anatomy
Task Completion Detection: A Study in the Context of Intelligent Systems
Entity extraction and disambiguation in finance
Multi-Candidate Ranking Algorithm Based Spell Correction
Named entity normalization in user generated content
Developing Evaluation Metrics for Instant Search Using Mixed Methods Methods
Dual Debiasing in LLM-based Recommendation
Knowledge-based Review Generation by Coherence Enhanced Text Planning
Generative Retrieval as Multi-Vector Dense Retrieval
On the Reuse of Past Optimal Queries
A unified and discriminative model for query refinement
The impact of history length on personalized search
LightGT: A Light Graph Transformer for Multimedia Recommendation
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model
Don't have a stemmer?: be un+concern+ed
EigenRank: a ranking-oriented approach to collaborative filtering
Towards Enhanced Agricultural Information Access in Kiswahili: Integrating Knowledge Graphs and Retrieval-Augmented Generation
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation
Little Words Can Make a Big Difference for Text Classification
Why spectral retrieval works
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
Better than the real thing?: iterative pseudo-query processing using cluster-based language models
Document Analysis for Visualization
Efficient Search Server Assignment in a Disproportionate System Environment
Towards Question-based Recommender Systems
Learning effective ranking functions for newsgroup search
A probabilistic topic-based ranking framework for location-sensitive domain information retrieval
Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
Multilabel classification with meta-level features
Gamifying Fitness or Fitnessifying Games: a Comparative Study
Translation of Natural Language Query Into Keyword Query Using a RNN Encoder-Decoder
Prefetching query results and its impact on search engines
From keywords to keyqueries: content descriptors for the web
What emotions do news articles trigger in their readers?
A proximity language model for information retrieval
Reducing long queries using query quality predictors
LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking
SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brazil, August 15-19, 2005
Bag-of-visual-words expansion using visual relatedness for video indexing
Unbiased Collaborative Filtering with Fair Sampling
Sub-corpora Impact on System Effectiveness
Cluster-based one-class ensemble for classification problems in information retrieval
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
Has adhoc retrieval improved since 1994?
Interpretable Fashion Matching with Rich Attributes
Rpref: a generalization of Bpref towards graded relevance judgments
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
Burst Detection in Social Media Streams for Tracking Interest Profiles in Real Time
2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021)
Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation
Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering
Scaling Laws For Dense Retrieval
Towards Interest Drift-driven User Representation Learning in Sequential Recommendation
An Analysis of BERT in Document Ranking
Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings
Balancing Precision and Generalization: Dynamic Instruction Generation for Model Adaptive Zero-Shot Reasoning in LLMs
GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams
Integrated Information Retrieval for Law in a Hypertext Environment
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
Explicit feedback in local search tasks
Information Retrieval Theory and Design Based on a Model of the User's Concept Relations
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval
SMART: An Open Source Framework for Searching the Physical World
Predicting information seeker satisfaction in community question answering
Generalising multiple capture-recapture to non-uniform sample sizes
An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation
ArabicWeb16: A New Crawl for Today's Arabic Web
Supporting Metacognition during Exploratory Search with the OrgBox
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
Opportunity model for e-commerce recommendation: right product; right time
Coarse-to-Fine Sparse Sequential Recommendation
Incomplete Follow-up Question Resolution using Retrieval based Sequence to Sequence Learning
ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
More efficient parallel computation of pagerank
System Demonstrations: Abstracts
An Approach to Research in File Organization
Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis
Improving Text Retrieval for the Routing Problem using Latent Semantic Indexing
UPPR+: Scaling Uncertain Personalised PageRank Computation on Billion-Sized Graphs with Mutually Exclusive Edges
Text categorization by boosting automatically extracted concepts
Augmenting Vision-Language Retrieval: The Role of Multimodal LLMs as Synthetic Data Generators
An Intelligent Advertisement Short Video Production System via Multi-Modal Retrieval
LaSTUS/TALN @ CLSciSumm-17: Cross-document Sentence Matching and Scientific Text Summarization Systems
R-ODE: Ricci Curvature Tells When You Will be Informed
Personalized PageRank in Uncertain Graphs with Mutually Exclusive Edges
Interesting nuggets and their impact on definitional question answering
Inconsistencies and Misnomers in Probabilistic IR
Access by Contents of Documents in an Office Information System
Enhancing Graph Neural Networks for Recommender Systems
Scaling IR-system evaluation using term relevance sets
Torch: A Search Engine for Trajectory Data
Klick Labs at CL-SciSumm 2018
Zero-shot Image Tagging by Hierarchical Semantic Embedding
A support vector method for optimizing average precision
The Utility and Privacy Effects of a Click
Combining term-based and event-based matching for question answering
KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
Multiple Topics Community Detection in Attributed Networks
The Information Retrieval Experiment Platform
Deep Learning for Matching in Search and Recommendation
Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search
Timestamping Entities using Contextual Information
Is Huffman Coding Dead?
Search Without a Query: Powering Job Recommendations via Search Index at LinkedIn
MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora
Integrating phrase inseparability in phrase-based model
Automatic Generation of Review Matrices as Multi-document Summarization of Scientific Papers
A novel method for the evaluation of Boolean query effectiveness across a wide operational range
Collection Selection with Highly Discriminative Keys
Intent Representation Learning with Large Language Model for Recommendation
Learning Passage Impacts for Inverted Indexes
How Much Novelty is Relevant?: It Depends on Your Curiosity
Enhancing Dynamic Image Advertising with Vision-Language Pre-training
Optimizing relevance and revenue in ad search: a query substitution approach
Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
On real-time ad-hoc retrieval evaluation
Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects
Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation
A novel system for the semi automatic annotation of event images
Parallelizing ListNet training using spark
ViewSer: enabling large-scale remote user studies of web search examination and interaction
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
Information retrieval with commonsense knowledge
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation
A Similarity-based Probability Model for Latent Semantic Indexing
Deep Semantic Hashing with Generative Adversarial Networks
Generalized Associative Memory Devices: Their Place in Intelligent Knowledge Based Systems
Visualization of Search Results: A Comparative Evaluation of Text, 2D, and 3D Interfaces
An Approach to Multimedia Information Management
Multi-view clustering of multilingual documents
Meta-Guided Adaptive Weight Learner for Noisy Correspondence
Weighted aspect-based collaborative filtering
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
Ranking using multiple document types in desktop search
To index or not to index: time-space trade-offs in search engines with positional ranking functions
Structured use of external knowledge for event-based open domain question answering
Learning to rank for information retrieval
Best document selection based on approximate utility optimization
Searching by Talking: Analysis of Voice Queries on Mobile Web Search
Context-Sensitive Auto-Completion for Searching with Entities and Categories
From Producer Success to Retention: A New Role of Search and Recommendation Systems on Marketplaces
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders
Cognos: crowdsourcing search for topic experts in microblogs
Order Preserving Minimal Perfect Hash Functions and Information Retrieval
Efficiency Implications of Term Weighting for Passage Retrieval
The Automatic Generation of Literature Abstracts: An Approach Based on the Identification of Self-Indicating Phrases
A Conceptual Model aod Experiments on How People Classify and Retrieve Documents
Revisiting the effect of topic set size on retrieval error
Linking transcribed conversational speech
Ad hoc IR: not much room for improvement
Context-aware query classification
Benchmarking Middle-Trained Language Models for Neural Search
Improving Semantic Matching via Multi-Task Learning in E-Commerce
From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems Simulations
Document Language Models, Query Models, and Risk Minimization for Information Retrieval
Region-based landmark discovery by crowdsourcing geo-referenced photos
Non-linear reading for a structured web indexation
Hourly analysis of a very large topically categorized web query log
Sequential Recommendation with Graph Neural Networks
The DILIGENT framework for distributed information retrieval
Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH'18) Co-located with (ACM SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018
Document Classification, Indexing and Abstracting May be Inherently Difficult Problems
Global resources for peer-to-peer text retrieval
Perspectives on Information Retrieval and Speech
Extractive Search for Analysis of Biomedical Texts
Fast and Quasi-Natural Language Search for Gigabits of Chinese Texts
M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation
A Test Collection for Relevance and Sensitivity
Machine learned ranking of entity facets
A Semantic Search Approach to Task-Completion Engines
Distant Supervision for Silver Label Generation of Software Mentions in Social Scientific Publications
BReK12: a book recommender for K-12 users
A Clustering Scheme
MaSe: create your own mash-up search interface
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search
COREL - A Conceptual Retrieval System
Predicting searcher frustration
Knowing Where to Search: Personalized Search Strategies for Peers in P2P Networks
AOL's Named Entity Resolver: Solving Disambiguation via Document Strongly Connected Components and Ad-Hoc Edges Construction
Learning Robust Dense Retrieval Models from Incomplete Relevance Labels
On the Limitations of Document Ranking Algorithms in Information Retrieval
Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections
ELECRec: Training Sequential Recommenders as Discriminators
Beyond Pooling
MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation
M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs
How to Measure the Reproducibility of System-oriented IR Experiments
Explainable Uncertainty Attribution for Sequential Recommendation
Cheshire II: Combining Probabilistic and Boolean Retrieval
Galago: A Modular Distributed Processing and Retrieval System
Linse: A Distributional Semantics Entity Search Engine
High precision opinion retrieval using sentiment-relevance flows
Topic hierarchy generation via linear discriminant projection
On the "Rough Use" of Machine Learning Techniques
Document retrieval from user-selected web sites
The Portinari project: IR helps art and culture
Practical online retrieval evaluation
A complex document information processing prototype
Target-aware Abstractive Related Work Generation with Contrastive Learning
User-centered interface design for cross-language information retrieval
Traditional IR Meets Ontology Engineering in Search for Data
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion
Retrieval-Augmented Image Captioning and Generation with Entity Concepts Enhancement for Baidu Multimodal Advertising
Communication Efficient Distributed Hypergraph Clustering
Almost-Constant-Time Clustering of Arbitrary Corpus Subsets
Review of MSR-Bing web scale speller challenge
Enriching document representation via translation for improved monolingual information retrieval
CIST@CLSciSumm-18: Methods for Computational Linguistics Scientific Citation Linkage, Facet Classification and Summarization
The LIVE Project - Retrieval Experiments Based on Evaluation Viewpoints
Incorporating a Semantic Analysis into a Document Retrieval Strategy
ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit