NDLI: Implementation techniques for large-scale latent semantic indexing applications

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Creating user interfaces that entice people to manage better information

Data, health, and algorithmics: computational challenges for biomedicine

Ontology-based data management

Lower-bounding term frequency normalization

Unsupervised transactional query classification based on webpage form understanding

Suggestion set utility maximization using session logs

Discovering missing click-through query language information for web search

Learning to aggregate vertical results into web search results

A probabilistic method for inferring preferences from clicks

Efficiency optimizations for interpolating subqueries

Statistical source expansion for question answering

What and how children search on the web

One is enough: distributed filtering for duplicate elimination

This image smells good: effects of image information scent in search engine results pages

Towards a framework for attribute retrieval

Context-aware search personalization with concept preference

Simulating simple user behavior for system effectiveness evaluation

Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset

Bayesian latent variable models for collaborative item rating prediction

Emerging topic detection using dictionary learning

Coupling or decoupling for KNN search on road networks?: a hybrid framework on user query patterns

Harvesting facts from textual web sources by constrained label propagation

Cloning for privacy protection in multiple independent data publications

Can irrelevant data help semi-supervised learning, why and how?

Discovering top-k teams of experts with/without a leader in social networks

Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach

Scalable density-based subspace clustering

Collective prediction with latent graphs

Towards feature selection in network

Plagiarism detection based on structural information

Towards a unified solution: data record region detection and segmentation

Finding dimensions for queries

Simultaneous joint and conditional modeling of documents tagged from two perspectives

Automated feature generation from structured knowledge

Estimating selectivity for joined RDF triple patterns

Semi-indexing semi-structured data in tiny space

Learning-based relevance feedback for web-based relation completion

Multiple keyword-based queries over XML streams

I/O-efficient algorithms for answering pattern-based aggregate queries in a sequence OLAP system

Ranking support for keyword search on structured data using relevance models

The quality of the XML web

High efficiency and quality: large graphs matching

Learning to target: what works for behavioral targeting

Enriching textbooks with images

Search result diversification for enterprise data

Spectral analysis of a blogosphere

Scalable entity matching computation with materialization

Exploratory search over social-medical data

Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs

MEMSCALE: in-cluster-memory databases

Computational geography

DTMBIO 2011: international workshop on data and textmining in biomedical informatics

Social and collaborative information seeking: panel

A quasi-synchronous dependence model for information retrieval

Assigning documents to master sites in distributed search

Improving context-aware query classification via adaptive self-training

Interactive sense feedback for difficult queries

Coreference aware web object retrieval

Intent-aware query similarity

Efficiently encoding term co-occurrences in inverted indexes

Passage retrieval for incorporating global evidence in sequence labeling

Personalizing web search results by reading level

Duplicate detection through structure optimization

Retrieving and ranking unannotated images through collaboratively mining online search results

Building directories for social tagging systems

A framework for personalized and collaborative clustering of search results

Click the search button and be happy: evaluating direct and immediate information access

A pairwise ranking based approach to learning with positive and unlabeled examples

Timing when to buy

Focusing on novelty: a crawling strategy to build diverse language models

Toward traffic-driven location-based web search

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Privacy-aware querying over sensitive trajectory data

Toward interactive training and evaluation

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Correlated multi-label feature selection

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Fast metadata-driven multiresolution tensor decomposition

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Filtering and clustering relations for unsupervised information extraction in open domain

Efficient resource attribute retrieval in RDF triple stores

Evaluation of set-based queries with aggregation constraints

Categorising logical differences between OWL ontologies

Authentication of location-based skyline queries

Tractable XML data exchange via relations

Efficient similarity search: arbitrary similarity measures, arbitrary composition

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DELTA: indexing and querying multi-labeled graphs

Large-scale behavioral targeting with a social twist

Exploring the corporate ecosystem with a semi-supervised entity graph

Diversification for multi-domain result sets

Citation chain aggregation: an interaction model to support citation cycling

Predicting the optimal ad-hoc index for reachability queries on graph databases

Black swan: augmenting statistics with event data

Scalable similarity search of timeseries with variable dimensionality

H-DB: a hybrid quantitative-structural sql optimizer

Large-scale array analytics: taming the data tsunami

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Improving retrieval accuracy of difficult queries through generalizing negative document language models

Discovering URLs through user feedback

A task level metric for measuring web search satisfaction and its application on improving relevance estimation

Reranking search results for sparse queries

Tag clouds revisited

Semi-supervised learning to rank with preference regularization

SIMD-based decoding of posting lists

Effective and efficient polarity estimation in blogs based on sentence-level evidence

Location-aware click prediction in mobile local search

SISP: a new framework for searching the informative subgraph based on PSO

Adaptive parallel approximate similarity search for responsive multimedia retrieval

Workload-aware indexing for keyword search in social networks

Using query log and social tagging to refine queries based on latent topics

Local computation of PageRank: the ranking side

Robust nonnegative matrix factorization using L21-norm

Assisting web search users by destination reachability

Natural event summarization

CLUES: a unified framework supporting interactive exploration of density-based clusters in streams

From names to entities using thematic context distance

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Semi-supervised multi-task learning of structured prediction models for web information extraction

Improving user interest inference from social neighbors

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Pattern change discovery between high dimensional data sets

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Determining the diameter of small world networks

Combining machine learning and human judgment in author disambiguation

Enabling information extraction by inference of regular expressions from sample entities

Hierarchical tag visualization and application for tag recommendations

Behavior-driven clustering of queries into topics

Facilitating pattern discovery for relation extraction with semantic-signature-based clustering

Effective stratification for low selectivity queries on deep web data sources

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ReDRIVE: result-driven database exploration through recommendations

Matching query processing in high-dimensional space

A parallel algorithm for computing borders

Learning to rank results in relational keyword search

Cost-efficient repair in inconsistent probabilistic databases

Skynets: searching for minimum trees in graphs with incomparable edge weights

Evolving social search based on bookmarks and status messages from social networks

Generating links to background knowledge: a case study using narrative radiology reports

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Collaborative blacklist generation via searches-and-clicks

Collection-based compression using discovered long matching strings

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RoSeS: a continuous query processor for large-scale RSS filtering and aggregation

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S3K: seeking statement-supporting top-K witnesses

User browsing behavior-driven web crawling

Multi-view random walk framework for search task discovery from click-through log

Searching microblogs: coping with sparsity and document quality

Ranking-based processing of SQL queries

Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization

Factorization-based lossless compression of inverted indices

Sentiment classification based on supervised latent n-gram analysis

Text vs. space: efficient geo-search query processing

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A linear-time approximation of the earth mover's distance

Effective retrieval of resources in folksonomies using a new tag similarity measure

Retrieval models for audience selection in display advertising

Prioritizing relevance judgments to improve the construction of IR test collections

TAKES: a fast method to select features in the kernel space

Modeling personalized email prioritization: classification-based and regression-based approaches

Transferring topical knowledge from auxiliary long texts for short text clustering

e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning

Learning conditional random fields with latent sparse features for acronym expansion finding

Recommendation in the end-to-end encrypted domain

Memory-less unsupervised clustering for data streaming by versatile ellipsoidal function

CASINO: towards conformity-aware social influence analysis in online social networks

Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons

MTopS: scalable processing of continuous top-k multi-query workloads

Exploiting longer cycles for link prediction in signed networks

Detecting anomalies in graphs with numeric labels

Citation count prediction: learning to estimate future citations for literature

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Perspective hierarchical dirichlet process for user-tagged image modeling

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Supporting queries spanning across phases of evolving artifacts using Steiner forests

Adding structure to top-k: from items to expansions

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Fast fully dynamic landmark-based estimation of shortest path distances in very large graphs

Social ranking for spoken web search

Information extraction from pathology reports in a hospital setting

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Finding relevant information of certain types from enterprise data

Diversifying search results of controversial queries

Query sampling for learning data fusion

Finding images of difficult entities in the long tail

Keyword search over RDF graphs

Collaborative online learning of user generated content

TOPSIG: topology preserving document signatures

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Partial duplicate detection for large book collections

Content-driven detection of campaigns in social media

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Entity timelines: visual analytics and named entity evolution

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Relevance weighting using within-document term statistics

Query session detection as a cascade

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Structured learning of two-level dynamic rankings

Implementation techniques for large-scale latent semantic indexing applications

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Continuous data stream query in the cloud

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A nugget-based test collection construction paradigm

A partitioning method for symbolic interval data based on kernelized metric

Block-based load balancing for entity resolution with MapReduce

Search and mining entity-relationship data

Recency ranking by diversification of result set

Hierarchy evolution for improved classification

PCMLogging: reducing transaction logging overhead with PCM

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Using random walks for multi-label classification

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Relevance feedback exploiting query-specific document manifolds

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k-Nearest neighbor query processing method based on distance relation pattern

On bias problem in relevance feedback

KLEAP: an efficient cleaning method to remove cross-reads in RFID streams

Efficient query rewrite for structured web queries

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A diversity measure leveraging domain specific auxiliary information

Rule-based construction of matching processes

On relevance, time and query expansion

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Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model

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Hybrid models for future event prediction

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Adaptive term frequency normalization for BM25

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Index tuning for query-log based on-line index maintenance

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Insert-friendly XML containment labeling scheme

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Discovering trending phrases on information streams

A pretopological framework for the automatic construction of lexical-semantic structures from texts

Trained trigger language model for sentence retrieval in QA: bridging the vocabulary gap

Review recommendation: personalized prediction of the quality of online reviews

Leveraging web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons

Topic modeling for named entity queries

Improving k-nearest neighbors algorithms: practical application of dataset analysis

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Semantic convolution kernels over dependency trees: smoothed partial tree kernel

Structured collaborative filtering

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User oriented tweet ranking: a filtering approach to microblogs

Imbalanced sentiment classification

Extracting adjective facets from community Q&A corpus

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The where in the tweet

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YANA: an efficient privacy-preserving recommender system for online social communities

Question identification on twitter

Learning to recommend questions based on public interest

More influence means less work: fast latent dirichlet allocation by influence scheduling

OpinioNetIt: understanding the opinions-people network for politically controversial topics

CQC: classifying questions in CQA websites

Utility-driven anonymization in data publishing

Predicting the uncertainty of sentiment adjectives in indirect answers

Automatic query reformulation with syntactic operators to alleviate search difficulty

Privacy preserving feature selection for distributed data using virtual dimension

Sentiment classification via l2-norm deep belief network

Question routing in community question answering: putting category in its place

Switch detector: an activity spotting system for desktop

Domain customization for aspect-oriented opinion analysis with multi-level latent sentiment clues

Fact-based question decomposition for candidate answer re-ranking

LSH based outlier detection and its application in distributed setting

Accurate information extraction for quantitative financial events

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Authormagic: an approach to author disambiguation in large-scale digital libraries

A machine-learned proactive moderation system for auction fraud detection

Smoothing NDCG metrics using tied scores

DIGRank: using global degree to facilitate ranking in an incomplete graph

Simultaneously improving CSAT and profit in a retail banking organization

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On selection of objective functions in multi-objective community detection

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis

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SILA: a spatial instance learning approach for deep webpages

Robust video fingerprinting based on hierarchical symmetric difference feature

A geographic study of tie strength in social media

Image clustering fusion technique based on BFS

Named entity recognition using a modified Pegasos algorithm

Efficient retrieval of 3D building models using embeddings of attributed subgraphs

WikiLabel: an encyclopedic approach to labeling documents en masse

Constructing seminal paper genealogy

Towards noise-resilient document modeling

Leveraging Wikipedia concept and category information to enhance contextual advertising

Probabilistic model for discovering topic based communities in social networks

Beyond relevance in marketplace search

Relative effect of spam and irrelevant documents on user interaction with search engines

Inferring query aspects from reformulations using clustering

Advertiser-centric approach to understand user click behavior in sponsored search

Supervised matching of comments with news article segments

User action interpretation for personalized content optimization in recommender systems

A personalized recommendation system on scholarly publications

Collaborative exploratory search in real-world context

Beyond precision@10: clustering the long tail of web search results

Implementation techniques for large-scale latent semantic indexing applications

Content Provider	ACM Digital Library
Author	Bradford, Roger B.
Abstract	The technique of latent semantic indexing (LSI) has wide applicability in information retrieval and data mining tasks. To date, however, most applications of LSI have addressed relatively small collections of data. This has been due partly to hardware and software limitations and partly to overly pessimistic estimates of the processing requirements of the singular value decomposition (SVD) process. In recent years, advances in hardware capabilities and software implementations have enabled much larger LSI applications. Moreover, experience with large LSI indexes has shown that the SVD is not the limitation on scalability that it was long thought to be. This paper describes techniques applicable to creating large-scale (multi-million document) LSI indexes. Detailed data regarding the LSI index creation process is presented for collections of up to 100 million documents. Four key factors are shown to contribute to the scalability of LSI. First, in most situations, the time required for calculation of the singular value decomposition (SVD) of the term-document matrix is not the dominant factor determining the overall time required to build an LSI index. Second, the time required to calculate the SVD in LSI is linear in the number of objects indexed. Third, incremental index creation greatly facilitates use of LSI in dynamic environments. Fourth, distributed query processing can be employed to support large numbers of users. It is shown that LSI is well-suited for implementation in modern distributed computing environments. This paper provides the first measurements of the execution time for large-scale LSI build processes in a cloud environment.
Starting Page	339
Ending Page	344
Page Count	6
File Format	PDF
ISBN	9781450307178
DOI	10.1145/2063576.2063630
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-10-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Svd Cloud computing Lsi Latent semantic indexing Large-scale applications Scaling
Content Type	Text
Resource Type	Article

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