113 Result(s)
within
Computer Science
Artificial Intelligence
Data Mining and Knowledge Discovery
Database Management
Information Systems Applications (incl. Internet)
**u Tao
Chapter
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Chapter and Conference Paper
A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation
With the development of recommendation systems (RSs), researchers are no longer only satisfied with the recommendation results, but also put forward requirements for the recommendation reasons, which helps imp...
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Chapter and Conference Paper
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models
The pre-trained language model (eg, BERT) based deep retrieval models achieved superior performance over lexical retrieval models (eg, BM25) in many passage retrieval tasks. However, limited work has been done to...
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Chapter and Conference Paper
Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation
The accurate segmentation and structural topics of plain documents not only meet people’s reading habit, but also facilitate various downstream tasks. Recently, some works have consistently given positive hint...
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Chapter and Conference Paper
Multi-label Feature Selection Algorithm via Maximizing Label Correlation-Aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization
Multi-label classification deals with a special supervised classification problem where any instance could be associated with multiple class labels simultaneously. As various applications emerge continuously i...
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Chapter and Conference Paper
Incorporating Complete Syntactical Knowledge for Spoken Language Understanding
Spoken Language Processing (SLU) is important in task-oriented dialog systems. Intent detection and slot filling are two significant tasks of SLU. State-of-the-art methods for SLU jointly solve these two tasks...
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Chapter and Conference Paper
CSDQA: Diagram Question Answering in Computer Science
Visual Question Answering (VQA) has been a research focus of the computer vision community for recent years. Most of them are accomplished and verified on images of natural scenes. However, Diagram Question An...
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Chapter and Conference Paper
HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction
Heterogeneous information network (HIN) embedding is widely used in many real-world applications. Meta-path used in HINs can effectively extract semantic information among objects. However, the meta-path faces...
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Chapter and Conference Paper
Predicting Crowdsourcing Worker Performance with Knowledge Tracing
Knowledge-intensive crowdsourcing (KI-C) plays an important role in today’s knowledge economy. And competitive knowledge-intensive crowdsourcing (CKI-C) is a kind of KI-C in which tasks are released in the for...
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Chapter and Conference Paper
NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples
Entity alignment is the foundation of knowledge fusion, which can find the alignment relationships between entities in heterogeneous knowledge graphs. However, traditional methods rely on external information ...
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Chapter and Conference Paper
A New Statistics Collecting Method with Adaptive Strategy
Collecting statistics is a time- and resource-consuming operation in distributed database systems. It is even more challenging to efficiently collect statistics without affecting system performance, meanwhile ...
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Chapter and Conference Paper
ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering
With the rapid development of information technology, the problem of name ambiguity has become one of the main problems in the fields of information retrieval, data mining and scientific measurement, which ine...
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Chapter and Conference Paper
SLIND: Identifying Stable Links in Online Social Networks
Link stability detection has been an important and long-standing problem in the link prediction domain. However, it is often easily overlooked as being trivial and has not been adequately dealt with in link pr...
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Chapter and Conference Paper
Efficient Approximate Subsequence Matching Using Hybrid Signatures
In this paper, we focus on the problem of approximate subsequence matching, also called the read map** problem in genomics, which is finding similar subsequences (A subsequence refers to a substring which ha...
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Chapter and Conference Paper
An Efficient Approach for Computing Conflict Sets Combining Failure Probability with SAT
According to the topological structure of circuit and the characteristics of the enumeration tree, with the in-depth study of the reversed depth set enumeration tree method to compute conflict sets (CSRDSE), a...
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Chapter and Conference Paper
A Recommender System with Advanced Time Series Medical Data Analysis for Diabetes Patients in a Telehealth Environment
Intelligent technologies are enjoying growing popularity in a telehealth environment for hel** improve the quality of chronic patients’ lives and provide better clinical decision-making to reduce the costs a...
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Chapter and Conference Paper
Identifying Topical Opinion Leaders in Social Community Question Answering
Social community question answering (SCQA) sites not only provide regular question answering (QA) service but also form a social network where users can follow each other. Identifying topical opinion leaders w...
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Chapter and Conference Paper
Interactive Transaction Processing for In-Memory Database System
In-memory transaction processing has gained fast development in recent years. Previous works usually assume the one-shot transaction model, where transactions are run as stored procedures. Though many systems ...
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Chapter and Conference Paper
Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing
Spatial crowdsourcing emerges as a new computing paradigm with the development of mobile Internet and the ubiquity of mobile devices. The core of many real-world spatial crowdsourcing applications is to assign...
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Chapter and Conference Paper
Learning the Representation of Medical Features for Clinical Pathway Analysis
Clinical Pathway (CP) represents the best practice of treatment process management for inpatients with specific diagnosis, and a treatment process can be divided into several stages, usually in units of days. ...
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Chapter and Conference Paper
Boost Clickbait Detection Based on User Behavior Analysis
Article in the web is usually titled with a misleading title to attract the users click for gaining click-through rate (CTR). A clickbait title may increase click-through rate, but decrease user experience. Th...
