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Model adaptation via model interpolation and boosting for web search ranking

https://doi.org/10.3115/1699571.1699578
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What this work says

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

inferredcites →https://doi.org/10.1007/978-0-387-21606-5openalex-snapshot
The Elements of Statistical Learning
inferredcites →https://doi.org/10.1016/j.specom.2003.08.002openalex-snapshot
Statistical language model adaptation: review and perspectives
inferredcites →https://doi.org/10.1016/s0167-9473(01)00065-2openalex-snapshot
Stochastic gradient boosting
inferredcites →https://doi.org/10.1023/a:1007379606734openalex-snapshot
Multitask Learning
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1145/1076034.1076063openalex-snapshot
Accurately interpreting clickthrough data as implicit feedback
inferredcites →https://doi.org/10.1145/1102351.1102363openalex-snapshot
Learning to rank using gradient descent
inferredcites →https://doi.org/10.1145/1194936.1194939openalex-snapshot
An empirical study on language model adaptation
inferredcites →https://doi.org/10.1145/1458082.1458092openalex-snapshot
How does clickthrough data reflect retrieval quality?
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/10.1162/0891201053630273openalex-snapshot
Discriminative Reranking for Natural Language Parsing
inferredcites →https://doi.org/10.1162/neco.1995.7.1.108openalex-snapshot
Training with Noise is Equivalent to Tikhonov Regularization
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.3115/1613984.1613990openalex-snapshot
Language model adaptation with MAP estimation and the perceptron algorithm
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.4196563openalex-extracted
Transfer Ranking in Finance: Applications to Cross-Sectional Momentum with Data Scarcity
inferred← citeshttps://doi.org/10.1007/978-3-642-20161-5_23openalex-snapshot
Fractional Similarity: Cross-Lingual Feature Selection for Search
inferred← citeshttps://doi.org/10.1007/978-3-642-35341-3_31openalex-snapshot
Combining Signals for Cross-Lingual Relevance Feedback
inferred← citeshttps://doi.org/10.1007/978-3-642-36973-5_33openalex-snapshot
Example Based Entity Search in the Web of Data
inferred← citeshttps://doi.org/10.1007/978-981-96-0573-6_1openalex-snapshot
PR-Rank: A Parameter Regression Approach for Learning-to-Rank Model Adaptation Without Target Domain Data
inferred← citeshttps://doi.org/10.1007/s10115-011-0472-7openalex-snapshot
Query-dependent cross-domain ranking in heterogeneous network
inferred← citeshttps://doi.org/10.1007/s10791-009-9112-1openalex-snapshot
Adapting boosting for information retrieval measures
inferred← citeshttps://doi.org/10.1007/s10994-010-5231-6openalex-snapshot
Boosted multi-task learning
inferred← citeshttps://doi.org/10.1016/c2012-0-02862-1openalex-snapshot
Relevance Ranking for Vertical Search Engines
inferred← citeshttps://doi.org/10.1016/j.ipm.2011.05.002openalex-snapshot
Flexible sample selection strategies for transfer learning in ranking
inferred← citeshttps://doi.org/10.1016/j.iswcr.2026.100661openalex-snapshot
A high-resolution soil organic carbon mapping framework integrated machine learning and elevation-corrected climate data in alpine canyon region
inferred← citeshttps://doi.org/10.1016/j.jbi.2023.104486openalex-snapshot
A self-supervised language model selection strategy for biomedical question answering
inferred← citeshttps://doi.org/10.1016/j.patrec.2011.09.020openalex-snapshot
Multi-task learning to rank for web search
inferred← citeshttps://doi.org/10.1109/wisa.2010.12openalex-snapshot
A Novel Framework for Ranking Model Adaptation
inferred← citeshttps://doi.org/10.1145/1835449.1835478openalex-snapshot
Learning to rank only using training data from related domain
inferred← citeshttps://doi.org/10.1145/1835804.1835953openalex-snapshot
Multi-task learning for boosting with application to web search ranking
inferred← citeshttps://doi.org/10.1145/2009916.2009935openalex-snapshot
Relevant knowledge helps in choosing right teacher
inferred← citeshttps://doi.org/10.1145/2009916.2010007openalex-snapshot
Clickthrough-based latent semantic models for web search
inferred← citeshttps://doi.org/10.1145/2037661.2037663openalex-snapshot
Ranking function adaptation with boosting trees
inferred← citeshttps://doi.org/10.1145/2063576.2063640openalex-snapshot
Location-aware click prediction in mobile local search
inferred← citeshttps://doi.org/10.1145/2124295.2124311openalex-snapshot
Pairwise cross-domain factor model for heterogeneous transfer ranking
inferred← citeshttps://doi.org/10.1145/2124295.2124350openalex-snapshot
Learning to rank with multi-aspect relevance for vertical search
inferred← citeshttps://doi.org/10.1145/2187980.2188115openalex-snapshot
Modeling click-through based word-pairs for web search
inferred← citeshttps://doi.org/10.1145/2484028.2484068openalex-snapshot
Personalized ranking model adaptation for web search
inferred← citeshttps://doi.org/10.1145/2484028.2484082openalex-snapshot
Modeling click-through based word-pairs for web search
inferred← citeshttps://doi.org/10.1145/2556195.2556234openalex-snapshot
Adapting deep RankNet for personalized search
inferred← citeshttps://doi.org/10.1145/2556195.2556267openalex-snapshot
Democracy is good for ranking
inferred← citeshttps://doi.org/10.1145/2766462.2767845openalex-snapshot
Transfer Learning for Information Retrieval
inferred← citeshttps://doi.org/10.4018/978-1-4666-0188-8.ch010openalex-snapshot
Exploiting Transitivity in Probabilistic Models for Ontology Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1105.0857openalex-snapshot
Domain Adaptation: Overfitting and Small Sample Statistics
inferred← citeshttps://doi.org/10.48550/arxiv.1302.2318openalex-snapshot
On Search Engine Evaluation Metrics
inferred← citeshttps://doi.org/10.52354/jsi.3.1.iiopenalex-snapshot
Transfer Ranking in Finance: Applications to Cross-Sectional Momentum with Data Scarcity
inferred← citeshttps://doi.org/10.63317/38vc4m3kqsnoopenalex-snapshot
Generic Ontology Learners on Application Domains
inferred← citeshttps://doi.org/10.7936/k70863fbopenalex-snapshot
Approximation and Relaxation Approaches for Parallel and Distributed Machine Learning
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