NDLI: Learning to efficiently rank

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Prototype hierarchy based clustering for the categorization and navigation of web collections

Personalizing information retrieval for multi-session tasks: the roles of task stage and task type

Ranking using multiple document types in desktop search

Scalability of findability: effective and efficient IR operations in large information networks

Temporal click model for sponsored search

Learning to efficiently rank

Optimal meta search results clustering

Social media recommendation based on people and tags

On statistical analysis and optimization of information retrieval effectiveness metrics

Geometric representations for multiple documents

Image search by concept map

SED: supervised experimental design and its application to text classification

Estimation of statistical translation models based on mutual information for ad hoc information retrieval

Incorporating post-click behaviors into a click model

Segmentation of multi-sentence questions: towards effective question retrieval in cQA services

Adaptive near-duplicate detection via similarity learning

Studying trailfinding algorithms for enhanced web search

Multi-style language model for web scale information retrieval

EUSUM: extracting easy-to-understand english summaries for non-native readers

Query similarity by projecting the query-flow graph

The effect of assessor error on IR system evaluation

Estimating advertisability of tail queries for sponsored search

Assessing the scenic route: measuring the value of search trails in web logs

Content-enriched classifier for web video classification

To translate or not to translate?

Efficient partial-duplicate detection based on sequence matching

iCollaborate: harvesting value from enterprise web usage

Closed form solution of similarity algorithms

Low cost evaluation in information retrieval

On the mono- and cross-language detection of text reuse and plagiarism

Is the cranfield paradigm outdated?

Person name disambiguation by bootstrapping

Predicting searcher frustration

Acquisition of instance attributes via labeled and related instances

Caching search engine results over incremental indices

Freshness matters: in flowers, food, and web authority

Ranking for the conversion funnel

Analysis of structural relationships for hierarchical cluster labeling

A network-based model for high-dimensional information filtering

Information-based models for ad hoc IR

Using statistical decision theory and relevance models for query-performance prediction

Generalized syntactic and semantic models of query reformulation

Temporally-aware algorithms for document classification

DivQ: diversification for keyword search over structured databases

Interactive retrieval based on faceted feedback

Mining the blogosphere for top news stories identification

A content based approach for discovering missing anchor text for web search

Context-aware ranking in web search

Combining coregularization and consensus-based self-training for multilingual text categorization

Visual summarization of web pages

The demographics of web search

Reusable test collections through experimental design

Exploring reductions for long web queries

Human performance and retrieval precision revisited

Robust audio identification for MP3 popular music

Multilingual PRF: english lends a helping hand

Discriminative models of integrating document evidence and document-candidate associations for expert search

Exploring desktop resources based on user activity analysis

Blog snippets: a comments-biased approach

Learning to rank for information retrieval

User interface designs to support the social transfer of web search expertise

Refactoring the search problem

Self-taught hashing for fast similarity search

The good, the bad, and the random: an eye-tracking study of ad quality in web search

Relevance and ranking in online dating systems

Query forwarding in geographically distributed search engines

The importance of anchor text for ad hoc search revisited

How good is a span of terms?: exploiting proximity to improve web retrieval

On the existence of obstinate results in vector space models

Temporal diversity in recommender systems

Score distribution models: assumptions, intuition, and robustness to score manipulation

Active learning for ranking through expected loss optimization

Evaluating verbose query processing techniques

Multilabel classification with meta-level features

Finding support sentences for entities

A comparison of general vs personalised affective models for the prediction of topical relevance

Proximity-based opinion retrieval

Uncovering social spammers: social honeypots + machine learning

Collecting high quality overlapping labels at low cost

Towards subjectifying text clustering

Learning more powerful test statistics for click-based retrieval evaluation

A user behavior model for average precision and its generalization to graded judgments

Do user preferences and evaluation measures line up?

Positional relevance model for pseudo-relevance feedback

Extending average precision to graded relevance judgments

Effective music tagging through advanced statistical modeling

Comparing the sensitivity of information retrieval metrics

Vertical selection in the presence of unlabeled verticals

A data-parallel toolkit for information retrieval

SIGIR: scholar vs. scholars' interpretation

Introduction to probabilistic models in IR

Leveraging user interaction and collaboration for improving multilingual information access in digital libraries

A joint probabilistic classification model for resource selection

Ready to buy or just browsing?: detecting web searcher goals from interaction data

Learning to rank only using training data from related domain

Serendipitous recommendations via innovators

Estimating probabilities for effective data fusion

Understanding web browsing behaviors through Weibull analysis of dwell time

Evaluating and predicting answer quality in community QA

PRES: a score metric for evaluating recall-oriented information retrieval applications

Properties of optimally weighted data fusion in CBMIR

Finding and filtering information for children

Effective query expansion with the resistance distance based term similarity metric

Multimedia information retrieval

Entity information management in complex networks

Automatic content linking: speech-based just-in-time retrieval for multimedia archives

A method to automatically construct a user knowledge model in a forum environment

Web retrieval: the role of users

Finding people and their utterances in social media

Si-Fi: interactive similar item finder

Learning to rank audience for behavioral targeting

Information retrieval challenges in computational advertising

Leveraging user-generated content for news search

Suggesting related topics in web search

Multi-modal query expansion for web video search

Extraction of open-domain class attributes from text: building blocks for faceted search

User centered story tracking

Agro-Gator: digesting experts, logs, and N-grams

Context aware query classification using dynamic query window and relationship net

From federated to aggregated search

Reverse annotation based retrieval from large document image collections

Medical search and classification tools for recommendation

Predicting query potential for personalization, classification or regression?

Estimating the query difficulty for information retrieval

Learning hidden variable models for blog retrieval

Multilingual people search

The impact of collection size on relevance and diversity

Search and browse log mining for web information retrieval: challenges, methods, and applications

Investigation on smoothing and aggregation methods in blog retrieval

Spatial relationships in visual graph modeling for image categorization

Information retrieval for e-discovery

Aiming for user experience in information retrieval: towards user-centered relevance (UCR)

A picture is worth a thousand search results: finding child-oriented multimedia results with collAge

Query recovery of short user queries: on query expansion with stopwords

Where to start filtering redundancy?: a cluster-based approach

Flickr group recommendation based on tensor decomposition

Robust music identification based on low-order zernike moment in the compressed domain

Estimating interference in the QPRP for subtopic retrieval

Query quality: user ratings and system predictions

Multi-field learning for email spam filtering

Language-model-based pro/con classification of political text

Intent boundary detection in search query logs

Semi-supervised spam filtering using aggressive consistency learning

Entropy descriptor for image classification

Has portfolio theory got any principles?

Re-examination on lam% in spam filtering

Unsupervised estimation of dirichlet smoothing parameters

Comparing click-through data to purchase decisions for retrieval evaluation

Personalize web search results with user's location

Using search session context for named entity recognition in query

Evaluating whole-page relevance

Predicting escalations of medical queries based on web page structure and content

Contextual video advertising system using scene information inferred from video scripts

Cross-language retrieval using link-based language models

Search system requirements of patent analysts

On performance of topical opinion retrieval

Improving sentence retrieval with an importance prior

Focused access to sparsely and densely relevant documents

Text document clustering with metric learning

Predicting query performance on the web

Hashtag retrieval in a microblogging environment

Crowdsourcing a wikipedia vandalism corpus

MEMOSE: search engine for emotions in multimedia documents

Hierarchical pitman-yor language model for information retrieval

Entity summarization of news articles

The power of naive query segmentation

Clicked phrase document expansion for sponsored search ad retrieval

Three web-based heuristics to determine a person's or institution's country of origin

Exploiting click-through data for entity retrieval

Feature subset non-negative matrix factorization and its applications to document understanding

Learning to rank query reformulations

Many are better than one: improving multi-document summarization via weighted consensus

Exploring the use of labels to shortcut search trails

Investigating the suboptimality and instability of pseudo-relevance feedback

From fusion to re-ranking: a semantic approach

High precision opinion retrieval using sentiment-relevance flows

Ontology-enriched multi-document summarization in disaster management

Multi-view clustering of multilingual documents

A stack decoder approach to approximate string matching

Late fusion of compact composite descriptors for retrieval from heterogeneous image databases

Inferring user intent in web search by exploiting social annotations

Query term ranking based on dependency parsing of verbose queries

A ranking approach to target detection for automatic link generation

Probabilistic latent maximal marginal relevance

Using local precision to compare search engines in consumer health information retrieval

multi Searcher: can we support people to get information from text they can't read or understand?

Linking wikipedia to the web

Short text classification in twitter to improve information filtering

A framework for BM25F-based XML retrieval

Can search systems detect users' task difficulty?: some behavioral signals

Query log analysis in the context of information retrieval for children

Transitive history-based query disambiguation for query reformulation

Using flickr geotags to predict user travel behaviour

Metrics for assessing sets of subtopics

Learning to select rankers

VisualSum: an interactive multi-document summarizationsystem using visualization

Web page publication time detection and its application for page rank

HCC: a hierarchical co-clustering algorithm

Retrieval system evaluation: automatic evaluation versus incomplete judgments

Aspect presence verification conditional on other aspects

The value of visual elements in web search

Diversification of search results using webgraphs

Capturing page freshness for web search

S-PLASA+: adaptive sentiment analysis with application to sales performance prediction

Supervised query modeling using wikipedia

A two-stage model for blog feed search

Machine learned ranking of entity facets

User comments for news recommendation in social media

Incorporating global information into named entity recognition systems using relational context

Achieving high accuracy retrieval using intra-document term ranking

Author interest topic model

On the relationship between effectiveness and accessibility

Visual concept-based selection of query expansions for spoken content retrieval

Mining adjacent markets from a large-scale ads video collection for image advertising

A co-learning framework for learning user search intents from rule-generated training data

Learning the click-through rate for rare/new ads from similar ads

Graphical models for text: a new paradigm for text representation and processing

A survival modeling approach to biomedical search result diversification using wikipedia

Learning to efficiently rank

Content Provider	ACM Digital Library
Author	Metzler, Donald Wang, Lidan Lin, Jimmy
Abstract	It has been shown that learning to rank approaches are capable of learning highly effective ranking functions. However, these approaches have mostly ignored the important issue of efficiency. Given that both efficiency and effectiveness are important for real search engines, models that are optimized for effectiveness may not meet the strict efficiency requirements necessary to deploy in a production environment. In this work, we present a unified framework for jointly optimizing effectiveness and efficiency. We propose new metrics that capture the tradeoff between these two competing forces and devise a strategy for automatically learning models that directly optimize the tradeoff metrics. Experiments indicate that models learned in this way provide a good balance between retrieval effectiveness and efficiency. With specific loss functions, learned models converge to familiar existing ones, which demonstrates the generality of our framework. Finally, we show that our approach naturally leads to a reduction in the variance of query execution times, which is important for query load balancing and user satisfaction.
Starting Page	138
Ending Page	145
Page Count	8
File Format	PDF
ISBN	9781450301534
DOI	10.1145/1835449.1835475
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-07-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Effectiveness and efficiency tradeoff Learning to rank Linear models
Content Type	Text
Resource Type	Article

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