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Learning to rank

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/asi.20009openalex-snapshot
The effects of fitness functions on genetic programming‐based ranking discovery for Web search
inferredcites →https://doi.org/10.1007/11503415_1openalex-snapshot
Ranking and Scoring Using Empirical Risk Minimization
inferredcites →https://doi.org/10.1007/11503415_3openalex-snapshot
Stability and Generalization of Bipartite Ranking Algorithms
inferredcites →https://doi.org/10.1007/11503415_5openalex-snapshot
Margin-Based Ranking Meets Boosting in the Middle
inferredcites →https://doi.org/10.1007/11776420_44openalex-snapshot
Subset Ranking Using Regression
inferredcites →https://doi.org/10.1007/11871842_86openalex-snapshot
Cost-Sensitive Learning of SVM for Ranking
inferredcites →https://doi.org/10.1007/3-540-39963-1_45openalex-snapshot
Prediction of Ordinal Classes Using Regression Trees
inferredcites →https://doi.org/10.1007/978-3-540-72927-3_43openalex-snapshot
Robust Reductions from Ranking to Classification
inferredcites →https://doi.org/10.1007/s10791-005-6991-7openalex-snapshot
Learning to Rank
inferredcites →https://doi.org/10.1007/s10791-007-9025-9openalex-snapshot
On rank-based effectiveness measures and optimization
inferredcites →https://doi.org/10.1016/j.dss.2004.11.014openalex-snapshot
On linear mixture of expert approaches to information retrieval
inferredcites →https://doi.org/10.1016/j.ipm.2003.08.001openalex-snapshot
A generic ranking function discovery framework by genetic programming for information retrieval
inferredcites →https://doi.org/10.1016/j.ipm.2007.07.016openalex-snapshot
Query-level loss functions for information retrieval
inferredcites →https://doi.org/10.1049/cp:19991091openalex-snapshot
Support vector learning for ordinal regression
inferredcites →https://doi.org/10.1080/07421222.2005.11045828openalex-snapshot
Genetic Programming-Based Discovery of Ranking Functions for Effective Web Search
inferredcites →https://doi.org/10.1109/allerton.2008.4797684openalex-snapshot
Query-level learning to rank using isotonic regression
inferredcites →https://doi.org/10.1109/hicss.2004.1265279openalex-snapshot
Ranking function optimization for effective Web search by genetic programming: an empirical study
inferredcites →https://doi.org/10.1109/tkde.2004.1269663openalex-snapshot
Discovery of context-specific ranking functions for effective information retrieval using genetic programming
inferredcites →https://doi.org/10.1145/1008992.1009006openalex-snapshot
Discriminative models for information retrieval
inferredcites →https://doi.org/10.1145/1008992.1009060openalex-snapshot
Learning effective ranking functions for newsgroup search
inferredcites →https://doi.org/10.1145/1076034.1076085openalex-snapshot
Linear discriminant model for information retrieval
inferredcites →https://doi.org/10.1145/1081870.1081899openalex-snapshot
Query chains
inferredcites →https://doi.org/10.1145/1081870.1081911openalex-snapshot
SVM selective sampling for ranking with application to data retrieval
inferredcites →https://doi.org/10.1145/1102351.1102363openalex-snapshot
Learning to rank using gradient descent
inferredcites →https://doi.org/10.1145/1102351.1102369openalex-snapshot
Preference learning with Gaussian processes
inferredcites →https://doi.org/10.1145/1102351.1102370openalex-snapshot
New approaches to support vector ordinal regression
inferredcites →https://doi.org/10.1145/1148170.1148175openalex-snapshot
Learning user interaction models for predicting web search result preferences
inferredcites →https://doi.org/10.1145/1148170.1148205openalex-snapshot
Adapting ranking SVM to document retrieval
inferredcites →https://doi.org/10.1145/1148170.1148246openalex-snapshot
High accuracy retrieval with multiple nested ranker
inferredcites →https://doi.org/10.1145/1183614.1183698openalex-snapshot
Optimisation methods for ranking functions with multiple parameters
inferredcites →https://doi.org/10.1145/1242572.1242638openalex-snapshot
Supervised rank aggregation
inferredcites →https://doi.org/10.1145/1273496.1273518openalex-snapshot
Magnitude-preserving ranking algorithms
inferredcites →https://doi.org/10.1145/1277741.1277790openalex-snapshot
A support vector method for optimizing average precision
inferredcites →https://doi.org/10.1145/1277741.1277791openalex-snapshot
Ranking with multiple hyperplanes
inferredcites →https://doi.org/10.1145/1277741.1277792openalex-snapshot
A regression framework for learning ranking functions using relative relevance judgments
inferredcites →https://doi.org/10.1145/1277741.1277808openalex-snapshot
FRank
inferredcites →https://doi.org/10.1145/1277741.1277809openalex-snapshot
AdaRank
inferredcites →https://doi.org/10.1145/1277741.1277810openalex-snapshot
A combined component approach for finding collection-adapted ranking functions based on genetic programming
inferredcites →https://doi.org/10.1145/1277741.1277811openalex-snapshot
Feature selection for ranking
inferredcites →https://doi.org/10.1145/1281192.1281254openalex-snapshot
Active exploration for learning rankings from clickthrough data
inferredcites →https://doi.org/10.1145/1341531.1341542openalex-snapshot
Fast learning of document ranking functions with the committee perceptron
inferredcites →https://doi.org/10.1145/1341531.1341544openalex-snapshot
SoftRank
inferredcites →https://doi.org/10.1145/1367497.1367552openalex-snapshot
Ranking refinement and its application to information retrieval
inferredcites →https://doi.org/10.1145/1367497.1367553openalex-snapshot
Learning to rank relational objects and its application to web search
inferredcites →https://doi.org/10.1145/1390156.1390221openalex-snapshot
Query-level stability and generalization in learning to rank
inferredcites →https://doi.org/10.1145/1390156.1390255openalex-snapshot
Learning diverse rankings with multi-armed bandits
inferredcites →https://doi.org/10.1145/1390156.1390306openalex-snapshot
Listwise approach to learning to rank
inferredcites →https://doi.org/10.1145/1390156.1390310openalex-snapshot
Predicting diverse subsets using structural SVMs
inferredcites →https://doi.org/10.1145/1390334.1390354openalex-snapshot
A boosting algorithm for learning bipartite ranking functions with partially labeled data
inferredcites →https://doi.org/10.1145/1390334.1390355openalex-snapshot
Directly optimizing evaluation measures in learning to rank
inferredcites →https://doi.org/10.1145/1390334.1390379openalex-snapshot
Learning to rank with partially-labeled data
inferredcites →https://doi.org/10.1145/1390334.1390380openalex-snapshot
Learning to rank with SoftRank and Gaussian processes
inferredcites →https://doi.org/10.1145/1390334.1390381openalex-snapshot
Learning to rank at query-time using association rules
inferredcites →https://doi.org/10.1145/1390334.1390382openalex-snapshot
Learning to rank with ties
inferredcites →https://doi.org/10.1145/1571941.1572021openalex-snapshot
On the local optimality of LambdaRank
inferredcites →https://doi.org/10.1145/1835449.1835676openalex-snapshot
Learning to rank for information retrieval
inferredcites →https://doi.org/10.1145/3130348.3130374openalex-snapshot
IR evaluation methods for retrieving highly relevant documents
inferredcites →https://doi.org/10.1145/345508.345545openalex-snapshot
IR evaluation methods for retrieving highly relevant documents
inferredcites →https://doi.org/10.1145/65943.65944openalex-snapshot
Optimum polynomial retrieval functions based on the probability ranking principle
inferredcites →https://doi.org/10.1145/775047.775067openalex-snapshot
Optimizing search engines using clickthrough data
inferredcites →https://doi.org/10.1613/jair.587openalex-snapshot
Learning to Order Things
inferredcites →https://doi.org/10.2307/1911299openalex-snapshot
Individual Choice Behavior
inferredcites →https://doi.org/10.2307/2346567openalex-snapshot
The Analysis of Permutations
inferredcites →https://doi.org/10.48550/arxiv.0704.3359openalex-snapshot
Direct Optimization of Ranking Measures
inferredcites →https://doi.org/10.7551/mitpress/1113.003.0010openalex-snapshot
Large Margin Rank Boundaries for Ordinal Regression
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0087openalex-snapshot
Pranking with Ranking
inferredcites →https://doi.org/10.7551/mitpress/1130.003.0015openalex-snapshot
Making Large-Scale Support Vector Machine Learning Practical
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0029openalex-snapshot
Learning to Rank with Nonsmooth Cost Functions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.2590020openalex-extracted
inferred← citeshttps://doi.org/10.2139/ssrn.3751012openalex-extracted
Building Cross-Sectional Systematic Strategies by Learning to Rank
inferred← citeshttps://doi.org/10.2139/ssrn.4187140openalex-extracted
Clip-Ranker: From Pointwise to Listwise Ranker for Multimodal Retrieval
inferred← citeshttps://doi.org/10.2139/ssrn.4519717openalex-extracted
A Decision-Support Tool for the Integrated Airline Recovery Using a Machine Learning Resources Selection Approach
inferred← citeshttps://doi.org/10.2139/ssrn.4528607openalex-extracted
A Ranking-Based Self-Supervised Learning Training Method for No-Reference Image Quality Assessment
inferred← citeshttps://doi.org/10.2139/ssrn.4596514openalex-extracted
A Ranking-Based Self-Supervised Learning Training Method for No-Reference Image Quality Assessment
inferred← citeshttps://doi.org/10.2139/ssrn.4643750openalex-extracted
Vtcp: A List-Wise Test Case Prioritization Method by Importance-Weighted Variational Learn
inferred← citeshttps://doi.org/10.2139/ssrn.4813548openalex-extracted
Listwise Learning-to-Rank Method Based on Tree Transformer for Database Query Optimization
inferred← citeshttps://doi.org/10.1002/9781118562796.ch2openalex-snapshot
Learnable Ranking Models for Automatic Text Summarization and Information Retrieval
inferred← citeshttps://doi.org/10.1002/9781118562796.ch8openalex-snapshot
Information Mining
inferred← citeshttps://doi.org/10.1002/9781119002659.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/9781394155408.ch11openalex-snapshot
Ranking
inferred← citeshttps://doi.org/10.1002/asi.21626openalex-snapshot
Ranker enhancement for proximity-based ranking of biomedical texts
inferred← citeshttps://doi.org/10.1002/asi.22789openalex-snapshot
Learning to rank using smoothing methods for language modeling
inferred← citeshttps://doi.org/10.1002/asi.23094openalex-snapshot
i A ggregator: Multidimensional relevance aggregation based on a fuzzy operator
inferred← citeshttps://doi.org/10.1002/asi.23163openalex-snapshot
Improving image annotation via ranking‐oriented neighbor search and learning‐based keyword propagation
inferred← citeshttps://doi.org/10.1002/asi.23772openalex-snapshot
Mining correlations between medically dependent features and image retrieval models for query classification
inferred← citeshttps://doi.org/10.1002/asi.24045openalex-snapshot
MF‐Re‐Rank: A modality feature‐based Re‐Ranking model for medical image retrieval
inferred← citeshttps://doi.org/10.1002/cpe.5796openalex-snapshot
Listwise learning to rank with extreme order sensitive constraint via cross‐correntropy
inferred← citeshttps://doi.org/10.1002/ett.3600openalex-snapshot
Local experts finding using user comments in location‐based social networks
inferred← citeshttps://doi.org/10.1002/int.20455openalex-snapshot
QoRank: A query-dependent ranking model using LSE-based weighted multiple hyperplanes aggregation for information retrieval
inferred← citeshttps://doi.org/10.1002/int.22820openalex-snapshot
Learning to rank: An intelligent system for person reidentification
inferred← citeshttps://doi.org/10.1002/jnm.2310openalex-snapshot
Improving document ranking with genetic and optimization algorithms
inferred← citeshttps://doi.org/10.1002/mp.70495openalex-snapshot
Incremental feature fusion based time series forecasting with cumulative risk constraint for longitudinal overall survival prediction
inferred← citeshttps://doi.org/10.1002/pra2.323openalex-snapshot
GotFunding: A grant recommendation system based on scientific articles
inferred← citeshttps://doi.org/10.1002/stc.2403openalex-snapshot
Synergistic and combinatorial optimization of finite element models for monitored buildings
inferred← citeshttps://doi.org/10.1007/11871637_13openalex-snapshot
Learning Parameters in Entity Relationship Graphs from Ranking Preferences
inferred← citeshttps://doi.org/10.1007/978-0-85729-525-5_9openalex-snapshot
Ordinal Regression and Ranking
inferred← citeshttps://doi.org/10.1007/978-1-4899-7502-7_667-1openalex-snapshot
Preference Learning
inferred← citeshttps://doi.org/10.1007/978-1-4899-7637-6_11openalex-snapshot
Recommender Systems in Industry: A Netflix Case Study
inferred← citeshttps://doi.org/10.1007/978-1-4899-7687-1_667openalex-snapshot
Preference Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-01012-6_16openalex-snapshot
Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks
inferred← citeshttps://doi.org/10.1007/978-3-030-01012-6_3openalex-snapshot
A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-030-01054-6_51openalex-snapshot
The Random Neural Network and Web Search: Survey Paper
inferred← citeshttps://doi.org/10.1007/978-3-030-01264-9_26openalex-snapshot
Learning to Navigate for Fine-Grained Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-04257-8_30openalex-snapshot
Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents
inferred← citeshttps://doi.org/10.1007/978-3-030-10997-4_12openalex-snapshot
A Practical Deep Online Ranking System in E-commerce Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-10997-4_7openalex-snapshot
SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN
inferred← citeshttps://doi.org/10.1007/978-3-030-14657-3_12openalex-snapshot
Learning-to-Rank Based Strategy for Caching in Wireless Small Cell Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-30179-8_3openalex-snapshot
Analogy-Based Preference Learning with Kernels
inferred← citeshttps://doi.org/10.1007/978-3-030-31624-2_10openalex-snapshot
Selecting Paragraphs to Answer Questions for Multi-passage Machine Reading Comprehension
inferred← citeshttps://doi.org/10.1007/978-3-030-32686-9_4openalex-snapshot
Position Bias Estimation for Unbiased Learning-to-Rank in eCommerce Search
inferred← citeshttps://doi.org/10.1007/978-3-030-36805-0_13openalex-snapshot
THUIR at the NTCIR-14 WWW-2 Task
inferred← citeshttps://doi.org/10.1007/978-3-030-36805-0_5openalex-snapshot
Online Evaluations of Features and Ranking Models for Question Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-030-38893-5_5openalex-snapshot
Semi-supervised Learning to Rank with Nonlinear Preference Model
inferred← citeshttps://doi.org/10.1007/978-3-030-43687-2_62openalex-snapshot
Ranking-Based Cited Text Identification with Highway Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-45439-5_28openalex-snapshot
Counterfactual Online Learning to Rank
inferred← citeshttps://doi.org/10.1007/978-3-030-45439-5_6openalex-snapshot
Context-Guided Learning to Rank Entities
inferred← citeshttps://doi.org/10.1007/978-3-030-45442-5_31openalex-snapshot
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-46133-1_13openalex-snapshot
A Reduction of Label Ranking to Multiclass Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-46133-1_15openalex-snapshot
Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance
inferred← citeshttps://doi.org/10.1007/978-3-030-47436-2_17openalex-snapshot
JPLink: On Linking Jobs to Vocational Interest Types
inferred← citeshttps://doi.org/10.1007/978-3-030-58545-7_39openalex-snapshot
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-030-59728-3_76openalex-snapshot
Rethinking PET Image Reconstruction: Ultra-Low-Dose, Sinogram and Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-60290-1_4openalex-snapshot
Debiasing Learning to Rank Models with Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-61527-7_21openalex-snapshot
Extreme Algorithm Selection with Dyadic Feature Representation
inferred← citeshttps://doi.org/10.1007/978-3-030-62008-0_38openalex-snapshot
aDFR: An Attention-Based Deep Learning Model for Flight Ranking
inferred← citeshttps://doi.org/10.1007/978-3-030-63031-7_7openalex-snapshot
Refining Data for Text Generation
inferred← citeshttps://doi.org/10.1007/978-3-030-72240-1_36openalex-snapshot
Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism
inferred← citeshttps://doi.org/10.1007/978-3-030-87240-3_43openalex-snapshot
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
inferred← citeshttps://doi.org/10.1007/978-3-030-87571-8_8openalex-snapshot
Improving Medical Record Search Performance by Particle Swarm Optimization Based Data Fusion Techniques
inferred← citeshttps://doi.org/10.1007/978-3-030-88942-5openalex-snapshot
Discovery Science
inferred← citeshttps://doi.org/10.1007/978-3-030-88942-5_13openalex-snapshot
Ranking Structured Objects with Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-91608-4_18openalex-snapshot
An Empirical Study of the Impact of Field Features in Learning-to-rank Method
inferred← citeshttps://doi.org/10.1007/978-3-030-96623-2_9openalex-snapshot
Information Retrieval and Search Engines
inferred← citeshttps://doi.org/10.1007/978-3-030-99736-6_8openalex-snapshot
Incorporating Ranking Context for End-to-End BERT Re-ranking
inferred← citeshttps://doi.org/10.1007/978-3-030-99739-7_1openalex-snapshot
Improving BERT-based Query-by-Document Retrieval with Multi-task Optimization
inferred← citeshttps://doi.org/10.1007/978-3-031-00129-1_35openalex-snapshot
Query-Document Topic Mismatch Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-10769-6_33openalex-snapshot
Bayesian Ranking for Strategy Scheduling in Automated Theorem Provers
inferred← citeshttps://doi.org/10.1007/978-3-031-20086-1_14openalex-snapshot
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression
inferred← citeshttps://doi.org/10.1007/978-3-031-22192-7_5openalex-snapshot
Contrastive Learning for Topic-Dependent Image Ranking
inferred← citeshttps://doi.org/10.1007/978-3-031-26316-3_24openalex-snapshot
DCVQE: A Hierarchical Transformer for Video Quality Assessment
inferred← citeshttps://doi.org/10.1007/978-3-031-33374-3_43openalex-snapshot
Fairness for Robust Learning to Rank
inferred← citeshttps://doi.org/10.1007/978-3-031-42559-2_6openalex-snapshot
Learning to Rank in Session-Based Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-43427-3_38openalex-snapshot
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search
inferred← citeshttps://doi.org/10.1007/978-3-031-56063-7_22openalex-snapshot
Learning-to-Rank with Nested Feedback
inferred← citeshttps://doi.org/10.1007/978-3-031-56063-7_38openalex-snapshot
Can We Predict QPP? An Approach Based on Multivariate Outliers
inferred← citeshttps://doi.org/10.1007/978-3-031-56063-7_39openalex-snapshot
An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rank
inferred← citeshttps://doi.org/10.1007/978-3-031-56066-8_29openalex-snapshot
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?
inferred← citeshttps://doi.org/10.1007/978-3-031-56069-9_7openalex-snapshot
Towards Optimizing Ranking in Grid-Layout for Provider-Side Fairness
inferred← citeshttps://doi.org/10.1007/978-3-031-58171-7_12openalex-snapshot
Proportion Estimation by Masked Learning from Label Proportion
inferred← citeshttps://doi.org/10.1007/978-3-031-72848-8_23openalex-snapshot
Multimodal Label Relevance Ranking via Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-74901-8_6openalex-snapshot
Linking Mentions to Entities
inferred← citeshttps://doi.org/10.1007/978-3-031-78107-0_1openalex-snapshot
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling
inferred← citeshttps://doi.org/10.1007/978-3-031-82606-1_5openalex-snapshot
Learning to Rank with Alpha Divergence and Entropy Regularization
inferred← citeshttps://doi.org/10.1007/978-3-031-82907-9_60openalex-snapshot
HieRelBERT: Enhanced Lexical Relation Embedding Based-On Hierarchical Contrast Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-88708-6_21openalex-snapshot
Evaluating Auto-complete Ranking for Diversity and Relevance
inferred← citeshttps://doi.org/10.1007/978-3-031-88711-6_15openalex-snapshot
Rank-Without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
inferred← citeshttps://doi.org/10.1007/978-3-031-91856-8_1openalex-snapshot
MobileIQA: Exploiting Mobile-Level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation
inferred← citeshttps://doi.org/10.1007/978-3-032-01152-7_2openalex-snapshot
From Traditional to LLM-Powered Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-06096-9_30openalex-snapshot
CULC-Net: A Recipe for Tailored Creative Selection in Online Advertising
inferred← citeshttps://doi.org/10.1007/978-3-032-13509-4_16openalex-snapshot
Exploring the Evolution of Recommender Systems Through Social Network Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-20537-7_2openalex-snapshot
Heuristic Methods for Top-k List Aggregation Under the Generalized Kendall Tau Distance
inferred← citeshttps://doi.org/10.1007/978-3-032-20606-0_50openalex-snapshot
Resume Parsing for Candidate Ranking: A Hybrid Semantic and Learning-to-Rank Approach
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_37openalex-snapshot
Adversarial Edge Perturbation Framework in Graph-Based Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-032-30612-8_1openalex-snapshot
Bayesian Conjugacy-Based Regularizer for Field-Aware Robust Calibration
inferred← citeshttps://doi.org/10.1007/978-3-032-31583-0_26openalex-snapshot
TeleRank: Listwise Ranking of Temporal Driver Performance Using Telemetry
inferred← citeshttps://doi.org/10.1007/978-3-319-07293-7_71openalex-snapshot
Improving Xbox Search Relevance by Click Likelihood Labeling
inferred← citeshttps://doi.org/10.1007/978-3-319-10578-9_6openalex-snapshot
Comparing Salient Object Detection Results without Ground Truth
inferred← citeshttps://doi.org/10.1007/978-3-319-10590-1_34openalex-snapshot
Learning to Rank 3D Features
inferred← citeshttps://doi.org/10.1007/978-3-319-10605-2_32openalex-snapshot
Interestingness Prediction by Robust Learning to Rank
inferred← citeshttps://doi.org/10.1007/978-3-319-11116-2_62openalex-snapshot
Query Dependent Time-Sensitive Ranking Model for Microblog Search
inferred← citeshttps://doi.org/10.1007/978-3-319-11382-1_14openalex-snapshot
A Real-World Framework for Translator as Expert Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-319-21024-7_26openalex-snapshot
A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization
inferred← citeshttps://doi.org/10.1007/978-3-319-21690-4_23openalex-snapshot
Predicting a Correct Program in Programming by Example
inferred← citeshttps://doi.org/10.1007/978-3-319-23525-7_14openalex-snapshot
Dyad Ranking Using A Bilinear Plackett-Luce Model
inferred← citeshttps://doi.org/10.1007/978-3-319-24027-5_17openalex-snapshot
Automatic Indexing of Journal Abstracts with Latent Semantic Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-25210-0_8openalex-snapshot
Statistical Response Method and Learning Data Acquisition using Gamified Crowdsourcing for a Non-task-oriented Dialogue Agent
inferred← citeshttps://doi.org/10.1007/978-3-319-27122-4_4openalex-snapshot
Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data
inferred← citeshttps://doi.org/10.1007/978-3-319-29659-3_13openalex-snapshot
Advanced Topics in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-39937-9_38openalex-snapshot
A Set-Based Training Query Classification Approach for Twitter Search
inferred← citeshttps://doi.org/10.1007/978-3-319-39958-4_27openalex-snapshot
AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit Paper Prediction
inferred← citeshttps://doi.org/10.1007/978-3-319-45814-4_42openalex-snapshot
An Adaptive kNN Using Listwise Approach for Implicit Feedback
inferred← citeshttps://doi.org/10.1007/978-3-319-46218-9_10openalex-snapshot
Wizard-of-Oz Support Using a Portable Dialogue Corpus
inferred← citeshttps://doi.org/10.1007/978-3-319-46843-3_3openalex-snapshot
Multimodal Detection of Engagement in Groups of Children Using Rank Learning
inferred← citeshttps://doi.org/10.1007/978-3-319-48740-3_20openalex-snapshot
Optimizing Factorization Machines for Top-N Context-Aware Recommendations
inferred← citeshttps://doi.org/10.1007/978-3-319-49421-0_4openalex-snapshot
Learning to Rank Extract Method Refactoring Suggestions for Long Methods
inferred← citeshttps://doi.org/10.1007/978-3-319-54660-5_10openalex-snapshot
A Business Collaborative Decision Making System for Network of SMEs
inferred← citeshttps://doi.org/10.1007/978-3-319-55394-8_7openalex-snapshot
Social Media Summarization
inferred← citeshttps://doi.org/10.1007/978-3-319-56608-5_13openalex-snapshot
Learning to Re-rank Medical Images Using a Bayesian Network-Based Thesaurus
inferred← citeshttps://doi.org/10.1007/978-3-319-56608-5_23openalex-snapshot
Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs
inferred← citeshttps://doi.org/10.1007/978-3-319-56608-5_42openalex-snapshot
LTRo: Learning to Route Queries in Clustered P2P IR
inferred← citeshttps://doi.org/10.1007/978-3-319-56608-5_60openalex-snapshot
Learning to Rank for Consumer Health Search: A Semantic Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-56994-9_59openalex-snapshot
Providing Intelligent Assistance for Product Configuration in Manufacturing: A Learning-to-Rank Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-57529-2_65openalex-snapshot
A Generalized Model for Multidimensional Intransitivity
inferred← citeshttps://doi.org/10.1007/978-3-319-58068-5_21openalex-snapshot
Combining Word and Entity Embeddings for Entity Linking
inferred← citeshttps://doi.org/10.1007/978-3-319-67582-4_11openalex-snapshot
The Altruistic Robot: Do What I Want, Not Just What I Say
inferred← citeshttps://doi.org/10.1007/978-3-319-68505-2_28openalex-snapshot
An Android App Recommendation Approach by Merging Network Traffic Cost
inferred← citeshttps://doi.org/10.1007/978-3-319-68560-1_1openalex-snapshot
A Rank Aggregation Framework for Video Interestingness Prediction
inferred← citeshttps://doi.org/10.1007/978-3-319-68935-7_1openalex-snapshot
Learning Convolutional Ranking-Score Function by Query Preference Regularization
inferred← citeshttps://doi.org/10.1007/978-3-319-69179-4_37openalex-snapshot
Doctoral Advisor or Medical Condition: Towards Entity-Specific Rankings of Knowledge Base Properties
inferred← citeshttps://doi.org/10.1007/978-3-319-69605-8_6openalex-snapshot
Answer Ranking by Analyzing Characteristic of Tags and Behaviors of Users
inferred← citeshttps://doi.org/10.1007/978-3-319-69904-2_37openalex-snapshot
Ontological Evolutionary Encoding to Bridge Machine Learning and Conceptual Models: Approach and Industrial Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-319-73531-3_9openalex-snapshot
Information Retrieval and Search Engines
inferred← citeshttps://doi.org/10.1007/978-3-319-73618-1_13openalex-snapshot
A Deep Learning Way for Disease Name Representation and Normalization
inferred← citeshttps://doi.org/10.1007/978-3-319-77113-7_26openalex-snapshot
Supervised Learning of Entity Disambiguation Models by Negative Sample Selection
inferred← citeshttps://doi.org/10.1007/978-3-319-91455-8_4openalex-snapshot
Evaluating Review’s Quality Based on Review Content and Reviewer’s Expertise
inferred← citeshttps://doi.org/10.1007/978-3-319-91458-9_36openalex-snapshot
Fusing Satellite Data and Urban Data for Business Location Selection: A Neural Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-91662-0_19openalex-snapshot
Predicting User Flight Preferences in an Airline E-Shop
inferred← citeshttps://doi.org/10.1007/978-3-319-92028-3_3openalex-snapshot
Listwise Recommendation Approach with Non-negative Matrix Factorization
inferred← citeshttps://doi.org/10.1007/978-3-319-93040-4_49openalex-snapshot
Topic-Specific Retweet Count Ranking for Weibo
inferred← citeshttps://doi.org/10.1007/978-3-319-93935-3openalex-snapshot
Entity-Oriented Search
inferred← citeshttps://doi.org/10.1007/978-3-319-93935-3_3openalex-snapshot
Term-Based Models for Entity Ranking
inferred← citeshttps://doi.org/10.1007/978-3-540-85930-7_52openalex-snapshot
Multiple Ranker Method in Document Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-540-87559-8_93openalex-snapshot
A Neural Network Approach for Learning Object Ranking
inferred← citeshttps://doi.org/10.1007/978-3-540-92892-8_18openalex-snapshot
Graph-Based Pairwise Learning to Rank for Video Search
inferred← citeshttps://doi.org/10.1007/978-3-642-00958-7_67openalex-snapshot
A Simple Linear Ranking Algorithm Using Query Dependent Intercept Variables
inferred← citeshttps://doi.org/10.1007/978-3-642-00958-7_81openalex-snapshot
Supervised Semantic Indexing
inferred← citeshttps://doi.org/10.1007/978-3-642-04769-5_24openalex-snapshot
Improving Text Rankers by Term Locality Contexts
inferred← citeshttps://doi.org/10.1007/978-3-642-04769-5_29openalex-snapshot
A Boosting Approach for Learning to Rank Using SVD with Partially Labeled Data
inferred← citeshttps://doi.org/10.1007/978-3-642-10467-1_58openalex-snapshot
Adaptive Learning for Multimodal Fusion in Video Search
inferred← citeshttps://doi.org/10.1007/978-3-642-12275-0_30openalex-snapshot
Maximum Margin Ranking Algorithms for Information Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-642-13657-3_39openalex-snapshot
Cost-Sensitive Listwise Ranking Approach
inferred← citeshttps://doi.org/10.1007/978-3-642-14125-6_7openalex-snapshot
A Survey on ROC-based Ordinal Regression
inferred← citeshttps://doi.org/10.1007/978-3-642-14267-3_1openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1007/978-3-642-14267-3_11openalex-snapshot
Experimental Results on LETOR
inferred← citeshttps://doi.org/10.1007/978-3-642-14267-3_13openalex-snapshot
Data Preprocessing for Learning to Rank
inferred← citeshttps://doi.org/10.1007/978-3-642-14267-3_14openalex-snapshot
Applications of Learning to Rank
inferred← citeshttps://doi.org/10.1007/978-3-642-14267-3_18openalex-snapshot
Statistical Consistency for Ranking
inferred← citeshttps://doi.org/10.1007/978-3-642-14267-3_19openalex-snapshot
Summary
inferred← citeshttps://doi.org/10.1007/978-3-642-14267-3_4openalex-snapshot
The Listwise Approach
inferred← citeshttps://doi.org/10.1007/978-3-642-14556-8_9openalex-snapshot
ListBM: A Learning-to-Rank Method for XML Keyword Search
inferred← citeshttps://doi.org/10.1007/978-3-642-17187-1_19openalex-snapshot
Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank
inferred← citeshttps://doi.org/10.1007/978-3-642-19956-1openalex-snapshot
Modeling Intention in Email : Speech Acts, Information Leaks and Recommendation Models
inferred← citeshttps://doi.org/10.1007/978-3-642-20847-8_40openalex-snapshot
ListOPT: Learning to Optimize for XML Ranking
inferred← citeshttps://doi.org/10.1007/978-3-642-20946-8_9openalex-snapshot
Digital Advertising: An Information Scientist’s Perspective
inferred← citeshttps://doi.org/10.1007/978-3-642-21557-5_4openalex-snapshot
Learning to Rank with Nonlinear Monotonic Ensemble
inferred← citeshttps://doi.org/10.1007/978-3-642-21765-4_17openalex-snapshot
RLM-AVF: Towards Visual Features Based Ranking Learning Model for Image Search
inferred← citeshttps://doi.org/10.1007/978-3-642-23780-5_27openalex-snapshot
A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost
inferred← citeshttps://doi.org/10.1007/978-3-642-23780-5_31openalex-snapshot
Learning Recommendations in Social Media Systems by Weighting Multiple Relations
inferred← citeshttps://doi.org/10.1007/978-3-642-24471-1_15openalex-snapshot
Model-Based Clustering of Inhomogeneous Paired Comparison Data
inferred← citeshttps://doi.org/10.1007/978-3-642-24955-6_72openalex-snapshot
Unsupervised Object Ranking Using Not Even Weak Experts
inferred← citeshttps://doi.org/10.1007/978-3-642-24958-7_44openalex-snapshot
Learning to Rank Documents Using Similarity Information between Objects
inferred← citeshttps://doi.org/10.1007/978-3-642-25631-8_1openalex-snapshot
Query-Dependent Rank Aggregation with Local Models
inferred← citeshttps://doi.org/10.1007/978-3-642-25631-8_43openalex-snapshot
Learning to Extract Coherent Keyphrases from Online News
inferred← citeshttps://doi.org/10.1007/978-3-642-25631-8_9openalex-snapshot
Learning to Rank by Optimizing Expected Reciprocal Rank
inferred← citeshttps://doi.org/10.1007/978-3-642-25781-0_113openalex-snapshot
Ranking Learning Model Applying Visual Features for Image Search
inferred← citeshttps://doi.org/10.1007/978-3-642-35725-1_20openalex-snapshot
Image Search Reranking with Semi-supervised LPP and Ranking SVM
inferred← citeshttps://doi.org/10.1007/978-3-642-37015-1_10openalex-snapshot
Effect on Generalization of Using Relational Information in List-Wise Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-642-37015-1_13openalex-snapshot
A Survey of Learning to Rank for Real-Time Twitter Search
inferred← citeshttps://doi.org/10.1007/978-3-642-37450-0_27openalex-snapshot
FP-Rank: An Effective Ranking Approach Based on Frequent Pattern Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-38824-8_19openalex-snapshot
Improving Candidate Generation for Entity Linking
inferred← citeshttps://doi.org/10.1007/978-3-642-41136-6_22openalex-snapshot
Efficient Learning of Sparse Ranking Functions
inferred← citeshttps://doi.org/10.1007/978-3-642-41230-1_15openalex-snapshot
Time-Aware Travel Attraction Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-642-41278-3_46openalex-snapshot
Semi-supervised Ranking via List-Wise Approach
inferred← citeshttps://doi.org/10.1007/978-3-642-41491-6_8openalex-snapshot
Interactive Question Answering Based on FAQ
inferred← citeshttps://doi.org/10.1007/978-3-642-41644-6_26openalex-snapshot
Entity Linking from Microblogs to Knowledge Base Using ListNet Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-41939-3_21openalex-snapshot
Pairwise Kernels for Human Interaction Recognition
inferred← citeshttps://doi.org/10.1007/978-3-662-45924-9_33openalex-snapshot
Linking Entities in Tweets to Wikipedia Knowledge Base
inferred← citeshttps://doi.org/10.1007/978-3-662-72243-5_28openalex-snapshot
Improving Pricing Recommendations Using Nearest Neighbors Retrieval Via Contrastive Learning and Hard Negatives Mining
inferred← citeshttps://doi.org/10.1007/978-981-10-0080-5_18openalex-snapshot
The Expert Ranking Method Based on Listwise with Associated Features
inferred← citeshttps://doi.org/10.1007/978-981-10-3005-5_15openalex-snapshot
Rank Beauty
inferred← citeshttps://doi.org/10.1007/978-981-10-5278-1_5openalex-snapshot
QoS-Aware Web Service Searching
inferred← citeshttps://doi.org/10.1007/978-981-10-6805-8_15openalex-snapshot
Social Annotation for Query Expansion Learning from Multiple Expansion Strategies
inferred← citeshttps://doi.org/10.1007/978-981-10-7359-5_1openalex-snapshot
Knowledge Base Completion by Learning to Rank Model
inferred← citeshttps://doi.org/10.1007/978-981-13-0896-3_3openalex-snapshot
A Listwise Approach for Learning to Rank Based on Query Normalization Network
inferred← citeshttps://doi.org/10.1007/978-981-13-1349-3_6openalex-snapshot
Conclusion and Future Work
inferred← citeshttps://doi.org/10.1007/978-981-13-5802-9_28openalex-snapshot
Web Service Ranking and Selection Based on QoS
inferred← citeshttps://doi.org/10.1007/978-981-13-9409-6_144openalex-snapshot
A Ranking Learning Training Method Based on Singular Value Decomposition
inferred← citeshttps://doi.org/10.1007/978-981-15-3242-9_13openalex-snapshot
Crowdsourcing for Urban Laborers and Time Optimization
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