NDLI: Ranking model adaptation for domain-specific search

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StereoTrust: a group based personalized trust model

What happens after an ad click?: quantifying the impact of landing pages in web advertising

Effective, design-independent XML keyword search

Intention-focused active reranking for image object retrieval

Data-driven compound splitting method for english compounds in domain names

Computational community interest for ranking

Space-economical partial gram indices for exact substring matching

An integrated discriminative probabilistic approach to information extraction

Learning document aboutness from implicit user feedback and document structure

Compact full-text indexing of versioned document collections

Bitmap indexes for relational XML twig query processing

Towards a universal wordnet by learning from combined evidence

P-Rank: a comprehensive structural similarity measure over information networks

Improvements that don't add up: ad-hoc retrieval results since 1998

Probabilistic skyline queries

Automatic retrieval of similar content using search engine query interface

Learning to recommend questions based on user ratings

A signal-to-noise approach to score normalization

A code generation approach to optimizing high-performance distributed data stream processing

Information extraction meets relation databases

Clustering web queries

A unified relevance model for opinion retrieval

Supporting ranking pattern-based aggregate queries in sequence data cubes

Practical lessons of data mining at Yahoo!

Completing wikipedia's hyperlink structure through dimensionality reduction

Time sequence summarization to scale up chronology-dependent applications

Characterizing, constructing and managing resource usage profiles of system S applications: challenges and experience

PQC: personalized query classification

A term dependency-based approach for query terms ranking

Detection of orthogonal concepts in subspaces of high dimensional data

ExSearch: a novel vertical search engine for online barter business

3se: a semi-structured search engine for heterogeneous data in graph model

Matching stream patterns of various lengths and tolerances

Multi-task learning for learning to rank in web search

Clustering object moving patterns for prediction-based object tracking sensor networks

Kernel latent semantic analysis using an information retrieval based kernel

A machine learning approach for improved BM25 retrieval

What makes categories difficult to classify?: a study on predicting classification performance for categories

Retrieval constraints and word frequency distributions: a log-logistic model for IR

M-COPE: a multiple continuous query processing engine

OfCourse: web content discovery, classification and information extraction for online course materials

AnchorWoman: top-k structured mobile web search engine

SOIRE: a service-oriented IR evaluation architecture

Bridging the gap: complex networks meet information and knowledge management

DB-IR integration and its application to a massively-parallel search engine

An empirical study on using hidden markov model for search interface segmentation

Characterizing commercial intent

Efficient processing of twig pattern matching in fuzzy XML

A translation model for matching reviews to objects

Named entity disambiguation by leveraging wikipedia semantic knowledge

Adaptive relevance feedback in information retrieval

AS-index: a structure for string search using n-grams and algebraic signatures

Mining linguistic cues for query expansion: applications to drug interaction search

Joint sentiment/topic model for sentiment analysis

On the feasibility of multi-site web search engines

Answering XML queries using materialized views revisited

Event detection from flickr data through wavelet-based spatial analysis

Independent informative subgraph mining for graph information retrieval

Empirical justification of the gain and discount function for nDCG

Density-based clustering using graphics processors

Mashup-based information retrieval for domain experts

Probabilistic latent preference analysis for collaborative filtering

Nonlinear static-rank computation

Efficient join processing on uncertain data streams

Evidence of quality of textual features on the web 2.0

Detecting topic evolution in scientific literature: how can citations help?

Fuzzy semantic web ontology learning from fuzzy UML model

Domain driven data mining to improve promotional campaign ROI and select marketing channels

Scalable learning of collective behavior based on sparse social dimensions

Compressing tags to find interesting media groups

Generating SQL/XML query and update statements

Personalized social search based on the user's social network

Classification-based resource selection

Large margin transductive transfer learning

iLoc: a framework for incremental location-state acquisition and prediction based on mobile sensors

Minimal common container of tree patterns

Efficient processing of group-oriented connection queries in a large graph

Text segmentation via topic modeling: an analytical study

Exploiting term relationship to boost text classification

The impact of document structure on keyphrase extraction

Incremental query evaluation for support vector machines

A comparative study of methods for estimating query language models with pseudo feedback

A scalable and effective full-text search in P2P networks

DS-Cuber: an integrated OLAP environment for data streams

YAM: a schema matcher factory

OSSOBOOK: database and knowledgemanagement techniques for archaeozoology

MRM: an adaptive framework for XML searching

TSA'09 workshop summary: topic-sentiment analysis

Confucius and "its" intelligent disciples

Query by analogical example: relational search using web search engine indices

Analyzing and evaluating query reformulation strategies in web search logs

Dissemination of heterogeneous XML data in publish/subscibe systems

Learning better transliterations

Helping editors choose better seed sets for entity set expansion

The use of categorization information in language models for question retrieval

Robust record linkage blocking using suffix arrays

Message family propagation for ising mean field based on iteration tree

Generating comparative summaries of contradictory opinions in text

On-line index maintenance using horizontal partitioning

A query language for analyzing networks

Msuggest: a semantic recommender framework for traditional chinese medicine book search engine

Graph classification based on pattern co-occurrence

Expected reciprocal rank for graded relevance

Scalable continuous range monitoring of moving objects in symbolic indoor space

A study of information retrieval on accumulative social descriptions using the generation features

Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering

A general magnitude-preserving boosting algorithm for search ranking

Fast shortest path distance estimation in large networks

Exploiting internal and external semantics for the clustering of short texts using world knowledge

Efficient information retrieval in mobile peer-to-peer networks

Efficient joins with compressed bitmap indexes

Framework for timely and accurate ads on mobile devices

Blog cascade affinity: analysis and prediction

Efficient feature weighting methods for ranking

A system for detecting xml similarity in content and structure using relational database

Beyond hyperlinks: organizing information footprints in search logs to support effective browsing

Probabilistic models of ranking novel documents for faceted topic retrieval

Subspace maximum margin clustering

Predicting the conversion probability for items on C2C ecommerce sites

Probabilistic moving range query over RFID spatio-temporal data streams

Dynamic in-page logging for flash-aware B-tree index

iRANK: an interactive ranking framework and its application in query-focused summarization

Consistent on-line classification of dbs workload events

XCFS: an XML documents clustering approach using both the structure and the content

To obtain orthogonal feature extraction using training data selection

Translating relevance scores to probabilities for contextual advertising

The influence of the document ranking in expert search

A novel distributed P2P simulator architecture: D-P2P-sim

VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels

A flexible simulation environment for flash-aware algorithms

Efficient and reliable merging of XML documents

Privacy and anonymization for very large datasets

Advanced metasearch engines

Semi-supervised learning of semantic classes for query understanding: from the web and for the web

Characterizing and predicting search engine switching behavior

Linear inclusion for XML regular expression types

Supervised semantic indexing

Using multiple ontologies in information extraction

Improving search engines using human computation games

Efficient algorithms for approximate member extraction using signature-based inverted lists

Efficient itemset generator discovery over a stream sliding window

sDoc: exploring social wisdom for document enhancement in web mining

Adaptive geospatially focused crawling

Probabilistic models for topic learning from images and captions in online biomedical literatures

Interactive, topic-based visual text summarization and analysis

Frequent subgraph pattern mining on uncertain graph data

Usage based effectiveness measures: monitoring application performance in information retrieval

Provenance query evaluation: what's so special about it?

iMecho: an associative memory based desktop search system

Voting in social networks

Learning to rank from Bayesian decision inference

Evaluating top-k queries over incomplete data streams

SELC: a self-supervised model for sentiment classification

Language-model-based ranking for queries on RDF-graphs

A framework for semantic link discovery over relational data

Improving web page classification by label-propagation over click graphs

Socializing or knowledge sharing?: characterizing social intent in community question answering

Fast and effective histogram construction

Characteristics of document similarity measures for compliance analysis

A social recommendation framework based on multi-scale continuous conditional random fields

Retrieval experiments using pseudo-desktop collections

A risk minimization framework for domain adaptation

Towards real-time measurement of customer satisfaction using automatically generated call transcripts

Suffix trees for very large genomic sequences

Multidimensional routing indices for efficient distributed query processing

Adaptive web mining of bilingual lexicons for cross language information retrieval

Automatic web data extraction using tree alignment

Enhancing expertise retrieval using community-aware strategies

User interests in social media sites: an exploration with micro-blogs

A query model based on normalized log-likelihood

URL normalization for de-duplication of web pages

Demonstration of an RFID middleware: LIT ALE manager

LuposDate: a semantic web database system

Helping people to choose for whom to vote. a web information system for the 2009 European elections

A graphical browser for XML schema documents

CloudDB workshop summary

Efficient record-level wrapper induction

Clustering and exploring search results using timeline constructions

Effective XML content and structure retrieval with relevance ranking

Ranking model adaptation for domain-specific search

Terminology mining in social media

Low-cost management of inverted files for online full-text search

Learning to rank with a novel kernel perceptron method

L2 norm regularized feature kernel regression for graph data

Post-rank reordering: resolving preference misalignments between search engines and end users

Navigational path privacy protection: navigational path privacy protection

Product query classification

User-induced links in collaborative tagging systems

Reducing the risk of query expansion via robust constrained optimization

Mining data streams with periodically changing distributions

Graph-based transfer learning

Heterogeneous cross domain ranking in latent space

POkA: identifying pareto-optimal k-anonymous nodes in a domain hierarchy lattice

Product feature categorization with multilevel latent semantic association

Enhancing recommender systems under volatile userinterest drifts

Incident threading for news passages

ROSE: retail outlet site evaluation by learning with both sample and feature preference

Discovering matching dependencies

Cluster based rank query over multidimensional data streams

Similarity-aware indexing for real-time entity resolution

LoOP: local outlier probabilities

Combining labeled and unlabeled data with word-class distribution learning

The effect of negation on sentiment analysis and retrieval effectiveness

Online community search using thread structure

An analysis framework for search sequences

OLAP with UDFs in digital libraries

Constructing evolutionary taxonomy of collaborative tagging systems

RSS watchdog: an instant event monitor on real online news streams

XQGen: an algebra-based XPath query generator for micro-benchmarking

Workload-aware trie indices for XML

Online anonymity for personalized web services

Clustering queries for better document ranking

MING: mining informative entity relationship subgraphs

Finding the topical anchors of a context using lexical cooccurrence data

Dynamic hyperparameter optimization for bayesian topical trend analysis

A word clustering approach for language model-based sentence retrieval in question answering systems

Location cache for web queries

HDDBrs middleware for implementing highly available distributed databases

SPIDER: a system for scalable, parallel / distributed evaluation of large-scale RDF data

RefMed: relevance feedback retrieval system fo PubMed

ASIC: algebra-based structural index comparison

Rank-aware clustering of structured datasets

Towards non-directional Xpath evaluation in a RDBMS

Effective and efficient structured retrieval

Experiments on pattern-based relation learning

Vetting the links of the web

A general markov framework for page importance computation

Pure spreading activation is pointless

A study of selective collection enrichment for enterprise search

Group-by skyline query processing in relational engines

Semantic queries in databases: problems and challenges

Who tags the tags?: a framework for bookmark weighting

Identifying comparable entities on the web

Building domain-oriented sentiment lexicon by improved information bottleneck

Exploiting bidirectional links: making spamming detection easier

Collaborative resource discovery in social tagging systems

Generating synopses for document-element search

Supporting context-based query in personal DataSpace

Inverted indexes vs. bitmap indexes in decision support systems

Web search result summarization: title selection algorithms and user satisfaction

Efficient multi-class unlabeled constrained semi-supervised SVM

Agglomerating local patterns hierarchically with ALPHA

What's behind topic formation and development: a perspective of community core groups

Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions

Incorporating robustness into web ranking evaluation

Walking in the crowd: anonymizing trajectory data for pattern analysis

Scalable indexing of RDF graphs for efficient join processing

Context sensitive synonym discovery for web search queries

Modeling context-dependent information

Topic and keyword re-ranking for LDA-based topic modeling

Exploring relevance for clicks

A collaborative filtering approach to ad recommendation using the query-ad click graph

Finding good feedback documents

Progressive skyline query evaluation and maintenance in wireless sensor networks

Privacy without noise

Text summarization model based on the budgeted median problem

iPoG: fast interactive proximity querying on graphs

Spatio-temporal association rule mining framework for real-time sensor network applications

An efficient clustering algorithm for large-scale topical web pages

Pseudo relevance feedback using semantic clustering in relevance language model

Ensembles in adversarial classification for spam

Incremental similarity joins with edit distance constraints

Mining frequent itemsets in time-varying data streams

Instance- and bag-level manifold regularization for aggregate outputs classification

Using domain ontology for semantic web usage mining and next page prediction

Predicting the volume of comments on online news stories

HyperSum: hypergraph based semi-supervised sentence ranking for query-oriented summarization

A proactive personalised retrieval system

Improving binary classification on text problems using differential word features

Structure-aware indexing for keyword search in databases

The gardener's problem for web information monitoring

Utilizing inter-passage and inter-document similarities for re-ranking search results

Using negative voting to diversify answers in non-factoid question answering

ComprehEnRank: estimating comprehension in classroom by absorbing random walks on a cognitive graph

Relying on topic subsets for system ranking estimation

Data extraction from the web using wild card queries

Feature selection for ranking using boosted trees

RS-Wrapper: random write optimization for solid state drive

Extraction of a latent blog community based on subject

On domain similarity and effectiveness of adapting-to-rank

A fast and simple method for extracting relevant content from news webpages

Interpretable and reconfigurable clustering of document datasets by deriving word-based rules

Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection

Smoothing document language model with local word graph

Evaluation of methods for relative comparison of retrieval systems based on clickthroughs

Label correspondence learning for part-of-speech annotation transformation

Context-sensitive document ranking

An effective model of using negative relevance feedback for information filtering

Real-word spelling correction using Google web 1Tn-gram data set

CAOFES: an ontological framework for web service retrieval

Learning from past queries for resource selection

Aging effects on query flow graphs for query suggestion

Measuring system performance and topic discernment using generalized adaptive-weight mean

Effective anonymization of query logs

(Not) yet another matcher

Topic analysis for topic-focused multi-document summarization

Acronym extraction and disambiguation in large-scale organizational web pages

Active learning in partially supervised classification

Learning to rank graphs for online similar graph search

Exploiting query views for static index pruning in web search engines

Automatic query generation for patent search

A framework for safely publishing communication traces

Injecting purpose and trust into data anonymisation

MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching

Constrained multi-aspect expertise matching for committee review assignment

Identifying interesting assertions from the web

Matching person names through name transformation

Answer typing for information retrieval

Boosting KNN text classification accuracy by using supervised term weighting schemes

Diverging patterns: discovering significant frequency change dissimilarities in large databases

Exploit the tripartite network of social tagging for web clustering

Using opinion-based features to boost sentence retrieval

Automatic link detection: a sequence labeling approach

Opinion classification with tree kernel SVM using linguistic modality analysis

Learning to rank using evolutionary computation: immune programming or genetic programming?

Exploring path query results through relevance feedback

Multidimensional political spectrum identification and analysis

Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance

MagicCube: choosing the best snippet for each aspect of an entity

Fragment-based clustering ensembles

To divide and conquer search ranking by learning query difficulty

Comparative document summarization via discriminative sentence selection

Automatic generation of topic pages using query-based aspect models

A hybrid index structure for geo-textual searches

Mining and ranking streams of news stories using cross-stream sequential patterns

Multi-aspect opinion polling from textual reviews

Maximal metric margin partitioning for similarity search indexes

Graph-based seed selection for web-scale crawlers

Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments

Feature engineering on event-centric surrogate documents to improve search results

Mining tourist information from user-supplied collections

Blogger-centric contextual advertising

An improved feedback approach using relevant local posts for blog feed retrieval

Easiest-first search: towards comprehension-based web search

Cross-domain sentiment classification using a two-stage method

A co-classification framework for detecting web spam and spammers in social media web sites

Stochastic gradient boosted distributed decision trees

Ranking model adaptation for domain-specific search

Content Provider	ACM Digital Library
Author	Geng, Bo Xu, Chao Hua, Xian-Sheng Yang, Linjun
Abstract	Recently, various domain-specific search engines emerge, which are restricted to specific topicalities or document formats, and vertical to the broad-based search. Simply applying the ranking model trained for the broad-based search to the verticals cannot achieve a sound performance due to the domain differences, while building different ranking models for each domain is both laborious for labeling sufficient training samples and time-consuming or the training process. In this paper, to address the above difficulties, we investigate two problems: (1) whether we can adapt the ranking model learned for existing Web page search or verticals, to the new domain, so that the amount of labeled data and the training cost is reduced, while the performance requirement is still satisfied; and (2) how to adapt the ranking model from auxiliary domains to a new target domain. We address the second problem from the regularization framework and an algorithm called ranking adaptation SVM is proposed. Our algorithm is flexible enough, which needs only the prediction from the existing ranking model, rather than the internal representation of the model or the data from auxiliary domains. The first problem is addressed by the proposed ranking adaptability measurement, which quantitatively estimates if an existing ranking model can be adapted to the new domain. Extensive experiments are performed over Letor benchmark dataset and two large scale datasets crawled from different domains through a commercial internet search engine, where the ranking model learned for one domain will be adapted to the other. The results demonstrate the applicabilities of the proposed ranking model adaptation algorithm and the ranking adaptability measurement.
Starting Page	197
Ending Page	206
Page Count	10
File Format	PDF
ISBN	9781605585123
DOI	10.1145/1645953.1645980
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-11-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Support vector machines Domain adaptation Information retrieval Learning to rank
Content Type	Text
Resource Type	Article

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