NDLI: Recommendation via user's personality and social contextual

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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

Users versus models: what observation tells us about effectiveness metrics

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

Challenges in commerce search

Is top-k sufficient for ranking?

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

The online revolution: education for everyone

"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

Wondering why data are missing from query results?: ask conseil why-not

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

Channeling the deluge: research challenges for big data and information systems

AKBC 2013: third workshop on automated knowledge base construction

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Spatial search for K diverse-near neighbors

Map search via a factor graph model

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On sparsity and drift for effective real-time filtering in microblogs

To stay or not to stay: modeling engagement dynamics in social graphs

Online multitasking and user engagement

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Evaluating aggregated search using interleaving

Disinformation techniques for entity resolution

A generic front-stage for semi-stream processing

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation

Mining entity attribute synonyms via compact clustering

External memory K-bisimulation reduction of big graphs

Building structures from classifiers for passage reranking

Spatial-temporal query homogeneity for KNN object search on road networks

Using micro-reviews to select an efficient set of reviews

Expertise retrieval in bibliographic network: a topic dominance learning approach

A hybrid approach for privacy-preserving processing of knn queries in mobile database systems

Clustering: probably approximately useless?

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Discriminative feature selection for multi-view cross-domain learning

Efficient hierarchical clustering of large high dimensional datasets

Building optimal information systems automatically: configuration space exploration for biomedical information systems

Motif discovery in spatial trajectories using grammar inference

Automatic ad format selection via contextual bandits

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

Originator or propagator?: incorporating social role theory into topic models for twitter content analysis

Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias

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

Exploiting query term correlation for list caching in web search engines

Online learning from streaming data

Optimizing plurality for human intelligence tasks

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

TerraFly GeoCloud: online spatial data analysis system

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

Exploring XML data is as easy as using maps

A tool for assisting provenance search in social media

DOLAP 2013 workshop summary

Usability in machine learning at scale with graphlab

Mining a search engine's corpus without a query pool

A phased ranking model for question answering

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

Using historical click data to increase interleaving sensitivity

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

An effective latent networks fusion based model for event recommendation in offline ephemeral social networks

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

Estimating document focus time

Facet selection algorithms for web product search

Recommending tags with a model of human categorization

OMS-TL: a framework of online multiple source transfer learning

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

Demonstrating intelligent crawling and archiving of web applications

Inside the world's playlist

SPHINX: rich insights into evidence-hypotheses relationships via parameter space-based exploration

Sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13)

Structured data in web search

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CRF framework for supervised preference aggregation

Learning relatedness measures for entity linking

Community-based user recommendation in uni-directional social networks

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Mining-based compression approach of propositional formulae

RWS-Diff: flexible and efficient change detection in hierarchical data

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PIDGIN: ontology alignment using web text as interlingua

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PAGE: a partition aware graph computation engine

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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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Towards faster and better retrieval models for question search

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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

Combining one-class classifiers via meta learning

FusionDB: conflict management system for small-science databases

SportSense: using motion queries to find scenes in sports videos

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

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$Proximity^{2}-aware$ ranking for textual, temporal, and geographic queries

A new operator for efficient stream-relation join processing in data streaming engines

Local clustering in provenance graphs

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Label constrained shortest path estimation

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ROU: advanced keyword search on graph

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Learning to selectively rank patients' medical history

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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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SCISSOR: scalable and efficient reachability query processing in time-evolving hierarchies

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Social media news communities: gatekeeping, coverage, and statement bias

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

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Incorporating the surfing behavior of web users into pagerank

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

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

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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

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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

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Question routing to user communities

PLEAD 2013: politics, elections and data

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Term associations in query expansion: a structural linguistic perspective

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Seeking provenance of information using social media

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Multimedia summarization for trending topics in microblogs

Detecting controversy on the web

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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

Recommendation via user's personality and social contextual

Content Provider	ACM Digital Library
Author	Feng, He Qian, Xueming
Abstract	With the advent and popularity of social network, more and more users like to share their experiences, such as ratings, reviews, and blogs. The new factors of social network like interpersonal influence and interest based on circles of friends bring opportunities and challenges for recommender system (RS) to solve the cold start and sparsity problem of datasets. Some of the social factors have been used in RS, but have not been fully considered. In this paper, three social factors, personal interest, interpersonal interest similarity and interpersonal influence, fuse into a unified personalized recommendation model based on probabilistic matrix factorization. The factor of personal interest can make the RS recommend items to meet users' individualities, especially for experienced users. Moreover, for cold start users, the interpersonal interest similarity and interpersonal influence can enhance the intrinsic link among features in the latent space. We conduct a series of experiments on real rating datasets. Experimental results show the proposed approach outperforms the existing RS approaches .
Starting Page	1521
Ending Page	1524
Page Count	4
File Format	PDF
ISBN	9781450322638
DOI	10.1145/2505515.2507834
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-10-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Personal interest Social networks Interpersonal influence Recommender system
Content Type	Text
Resource Type	Article

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