NDLI: Query matching for report recommendation

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Scholarly big data: information extraction and data mining

One size does not fit all: multi-granularity search of web forums

Graph-of-word and TW-IDF: new approach to ad hoc IR

Penguins in sweaters, or serendipitous entity search on user-generated content

Predicting user activity level in social networks

Discovering coherent topics using general knowledge

Mining frequent neighborhood patterns in a large labeled graph

Local correlation detection with linearity enhancement in streaming data

Locality sensitive hashing for scalable structural classification and clustering of web documents

Building a large-scale corpus for evaluating event detection on twitter

Location prediction in social media based on tie strength

StaticGreedy: solving the scalability-accuracy dilemma in influence maximization

The logical diversity of explanations in OWL ontologies

On mining mobile apps usage behavior for predicting apps usage in smartphones

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The water filling model and the cube test: multi-dimensional evaluation for professional search

Efficient filtering and ranking schemes for finding inclusion dependencies on the web

Towards metric fusion on multi-view data: a cross-view based graph random walk approach

Fast parameterless density-based clustering via random projections

Linear-time enumeration of maximal K-edge-connected subgraphs in large networks by random contraction

Community question topic categorization via hierarchical kernelized classification

Accurate and scalable nearest neighbors in large networks based on effective importance

Exploring weakly supervised latent sentiment explanations for aspect-level review analysis

Robust question answering over the web of linked data

MRPacker: an SQL to mapreduce optimizer

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Feedback-driven multiclass active learning for data streams

Effective measures for inter-document similarity

Interactive collaborative filtering

Cross-domain sparse coding

Computational advertising: the linkedin way

Graph similarity search with edit distance constraint in large graph databases

Social recommendation incorporating topic mining and social trust analysis

Compact explanatory opinion summarization

Directing exploratory search with interactive intent modeling

Semi-supervised discriminative preference elicitation for cold-start recommendation

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"All roads lead to Rome": optimistic recovery for distributed iterative data processing

Personalization of web-search using short-term browsing context

Toward advice mining: conditional random fields for extracting advice-revealing text units

Overlapping community detection using seed set expansion

Nonparametric bayesian multitask collaborative filtering

Beyond data: from user information to business value through personalized recommendations and consumer science

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GAPfm: optimal top-n recommendations for graded relevance domains

Transferring knowledge with source selection to learn IR functions on unlabeled collections

Re-ranking for joint named-entity recognition and linking

pEDM: online-forecasting for smart energy analytics

Consumer-centric SLA manager for cloud-hosted databases

GeCo: an online personal data generator and corruptor

PredictionIO: a distributed machine learning server for practical software development

Human computing games for knowledge acquisition

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Spatial search for K diverse-near neighbors

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Disinformation techniques for entity resolution

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Mining entity attribute synonyms via compact clustering

External memory K-bisimulation reduction of big graphs

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Automatic ad format selection via contextual bandits

Fast and scalable reachability queries on graphs by pruned labeling with landmarks and paths

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FRec: a novel framework of recommending users and communities in social media

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Online learning from streaming data

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Factors affecting aggregated search coherence and search behavior

Information extraction as a filtering task

TODMIS: mining communities from trajectories

Local-to-global semi-supervised feature selection

Beyond data: from user information to business value through personalized recommendations and consumer science

Fast evaluation of iceberg pattern-based aggregate queries

URL tree: efficient unsupervised content extraction from streams of web documents

Understanding how people interact with web search results that change in real-time using implicit feedback

Identifying salient entities in web pages

An efficient probabilistic framework for multi-dimensional classification

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DeExcelerator: a framework for extracting relational data from partially structured documents

Exploring XML data is as easy as using maps

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Mining a search engine's corpus without a query pool

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Structured positional entity language model for enterprise entity retrieval

Inferring anchor links across multiple heterogeneous social networks

Domain-dependent/independent topic switching model for online reviews with numerical ratings

Mining diabetes complication and treatment patterns for clinical decision support

Searching similar segments over textual event sequences

Load-sensitive selective pruning for distributed search

Probabilistic solutions of influence propagation on social networks

UNIK: unsupervised social network spam detection

PATRIC: a parallel algorithm for counting triangles in massive networks

Aligning freebase with the YAGO ontology

AnchorMF: towards effective event context identification

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Location recommendation for out-of-town users in location-based social networks

Scalable diversification of multiple search results

Understanding the roles of sub-graph features for graph classification: an empirical study perspective

Modeling interaction features for debate side clustering

Querying graphs with preferences

Uncovering collusive spammers in Chinese review websites

Discovering influential authors in heterogeneous academic networks by a co-ranking method

Automatic construction of domain and aspect specific sentiment lexicons for customer review mining

Instant foodie: predicting expert ratings from grassroots

Flexible and extensible generation and corruption of personal data

TellMyRelevance!: predicting the relevance of web search results from cursor interactions

Functional dirichlet process

Flexible and adaptive subspace search for outlier analysis

Learning to handle negated language in medical records search

LCMKL: latent-community and multi-kernel learning based image annotation

Graph hashing and factorization for fast graph stream classification

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Assessing sparse information extraction using semantic contexts

Permutation indexing: fast approximate retrieval from large corpora

Speller performance prediction for query autocorrection

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Improving passage ranking with user behavior information

Web news extraction via path ratios

Archiving the relaxed consistency web

Intelligently querying incomplete instances for improving classification performance

Leveraging data to change industry paradigms

Top-down keyword query processing on XML data

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Recommending tags with a model of human categorization

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MetKB: enriching RDF knowledge bases with web entity-attribute tables

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Inside the world's playlist

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ImG-complex: graph data model for topology of unstructured meshes

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QBEES: query by entity examples

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SRbench--a benchmark for soundtrack recommendation systems

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Mining characteristic multi-scale motifs in sensor-based time series

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FusionDB: conflict management system for small-science databases

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Cloud Armor: a platform for credibility-based trust management of cloud services

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Local clustering in provenance graphs

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ROU: advanced keyword search on graph

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Assessing quality score of Wikipedia article using mutual evaluation of editors and texts

Learning compact hashing codes for efficient tag completion and prediction

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Locality sensitive hashing revisited: filling the gap between theory and algorithm analysis

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Merged aggregate nearest neighbor query processing in road networks

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Efficient forecasting for hierarchical time series

Scalable bootstrapping for python

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CloudDB 2013: fifth international workshop on cloud data management

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Hotness-aware buffer management for flash-based hybrid storage systems

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Concept-based analysis of scientific literature

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A belief propagation approach for detecting shilling attacks in collaborative filtering

SkyView: a user evaluation of the skyline operator

Modeling behavioral factors ininteractive information retrieval

Incorporating the surfing behavior of web users into pagerank

Extraction and integration of web data by end-users

FIRE: interactive visual support for parameter space-driven rule mining

DUBMOD13: international workshop on data-driven user behavioral modelling and mining from social media

LearNext: learning to predict tourists movements

Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks

Probabilistic semantic similarity measurements for noisy short texts using Wikipedia entities

Weighted hashing for fast large scale similarity search

An efficient algorithm for approximate betweenness centrality computation

Expedited rating of data stores using agile data loading techniques

Discovering health-related knowledge in social media using ensembles of heterogeneous features

On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream

LR-PPR: locality-sensitive, re-use promoting, approximate personalized pagerank computation

Automated snippet generation for online advertising

UMicS: from anonymized data to usable microdata

Intent models for contextualising and diversifying query suggestions

Question routing to user communities

PLEAD 2013: politics, elections and data

Where shall we go today?: planning touristic tours with tripbuilder

Term associations in query expansion: a structural linguistic perspective

Exploiting collaborative filtering techniques for automatic assessment of student free-text responses

Seeking provenance of information using social media

Can back-of-the-book indexes be automatically created?

Multimedia summarization for trending topics in microblogs

Detecting controversy on the web

Building user profiles from topic models for personalised search

Learning to rank for question routing in community question answering

DTMBIO 2013: international workshop on data and text mining in biomedical informatics

Predicting event-relatedness of popular queries

Automated probabilistic modeling for relational data

Mining user interest from search tasks and annotations

CIKM 2013 workshop on living labs for information retrieval evaluation

Modeling latent topic interactions using quantum interference for information retrieval

Semantic discovery from web comparison queries

Generating comparative summaries from reviews

The first workshop on user engagement optimization

Generalizing diversity detection in blog feed retrieval

Joint learning on sentiment and emotion classification

Zero-shot video retrieval using content and concepts

PIKM 2013: the 6th ACM workshop for ph.d. students in information and knowledge management

Dynamic query intent mining from a search log stream

A unified graph model for personalized query-oriented reference paper recommendation

Diversified query expansion using conceptnet

Web-KR 2013: the 4th international workshop on web-scale knowledge representation, retrieval and reasoning

Latency-aware strategy for static list caching in flash-based web search engines

Probabilistic latent class models for predicting student performance

An empirical study of top-n recommendation for venture finance

Data management & analytics for healthcare (DARE 2013)

Bootstrapping active name disambiguation with crowdsourcing

Timeline adaptation for text classification

Interest mining from user tweets

Modeling clicks beyond the first result page

Recommendation via user's personality and social contextual

An analysis of crowd workers mistakes for specific and complex relevance assessment task

Maintaining discriminatory power in quantized indexes

A fast convergence clustering algorithm merging MCMC and EM methods

Combining prestige and relevance ranking for personalized recommendation

Retrieving opinions from discussion forums

Discrimination aware classification for imbalanced datasets

Strategies for setting time-to-live values in result caches

Retrieval of trending keywords in a peer-to-peer micro-blogging OSN

Incremental shared nearest neighbor density-based clustering

Learning to detect task boundaries of query session

Trustable aggregation of online ratings

The essence of knowledge (bases) through entity rankings

Early prediction on imbalanced multivariate time series

Exploiting proximity feature in statistical translation models for information retrieval

Chinese syntactic parsing based on linguistic entity-relationship model

Exploiting trustors as well as trustees in trust-based recommendation

Position-based contextualization for passage retrieval

Clustering-based anomaly detection in multi-view data

Through-the-looking glass: utilizing rich post-search trail statistics for web search

High throughput filtering using FPGA-acceleration

Discovering relations using matrix factorization methods

Topical authority propagation on microblogs

On challenges with mobile e-health: lessons from a game-theoretic perspective

On exploiting content and citations together to compute similarity of scientific papers

The importance of being socially-savvy: quantifying the influence of social networks on microblog retrieval

Improving entity search over linked data by modeling latent semantics

Taxonomy-based regression model for cross-domain sentiment classification

Flexible and dynamic compromises for effective recommendations

Reconciliation of categorical opinions from multiple sources

An unsupervised transfer learning approach to discover topics for online reputation management

Discovering facts with boolean tensor tucker decomposition

Intelligent SSD: a turbo for big data mining

Software plagiarism detection: a graph-based approach

Objectionable content filtering by click-through data

Query matching for report recommendation

Content Provider	ACM Digital Library
Author	Schuster, Daniel Thost, Veronika Voigt, Konrad
Abstract	Today, reporting is an essential part of everyday business life. But the preparation of complex Business Intelligence data by formulating relevant queries and presenting them in meaningful visualizations, so-called reports, is a challenging task for non-expert database users. To support these users with report creation, we leverage existing queries and present a system for query recommendation in a reporting environment, which is based on query matching. Targeting at large-scale, real-world reporting scenarios, we propose a scalable, index-based query matching approach. Moreover, schema matching is applied for a more fine-grained, structural comparison of the queries. In addition to interactively providing content-based query recommendations of good quality, the system works independent of particular data sources or query languages. We evaluate our system with an empirical data set and show that it achieves an F1-Measure of 0.56 and outperforms the approaches applied by state-of-the-art reporting tools (e.g., keyword search) by up to 30%.
Starting Page	1391
Ending Page	1400
Page Count	10
File Format	PDF
ISBN	9781450322638
DOI	10.1145/2505515.2505562
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-10-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Query recommendation Query matching Business intelligence
Content Type	Text
Resource Type	Article

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