NDLI: Improving recommender systems with an intention-based algorithm switching strategy

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LIF: a method to infer disease-gene relationships using literature data and impact factor

Ranking novel regulatory genes in gene expression profiles using NetExpress

Computational study of inward rectifying ion channel in urinary bladder over activity: student research abstract

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Usability evaluation and development of heuristics for second-screen applications

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Prediction of the domain name system (DNS) quality attributes

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Signal strength as support to mobility detection on failure detectors

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Automatic detection of cross-browser incompatibilities using machine learning and screenshot similarity: student research abstract

Optimal acquisition of input data for decision taking in business processes

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Ontology-based workflow pattern mining: application to bioinformatics expertise acquisition

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Fast mutual information computation for dependency-monitoring on data streams

Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction

Similarity search through one-dimensional embeddings

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Fixed budget pooling strategies based on fusion methods

Finding duplicate images in biology papers

Using chord distance descriptors to enhance music information retrieval: student research abstract

Probabilistic quantitative temporal reasoning

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Hiding debuggers from malware with apate

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On enhancing trust in cryptographic solutions: student research abstract

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Biclustering of time series data using factor graphs

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Coordinated execution of adaptation operations in distributed role-based software systems

Leveraging the adoption of electronic identities and electronic-signature solutions in Europe

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Multicriteria optimization in distributed micro-conveying platform

Automated seam tracking system based on passive monocular vision for automated linear robotic welding process

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Towards integration of ontology and text-extracted data for event coreference reasoning

Secure storage of user credentials and attributes in federation of clouds

Evidence-based security configurations for cloud datastores

Fault-tolerant clock synchronization in ring-networks

Sensing by proxy in buildings with agglomerative clustering of indoor temperature movements

Security software module update for heterogeneous VoT

An effective and efficient hybrid scan matching algorithm for mobile object applications

Utilizing nearby computing resources for resource-limited mobile devices

Upper bound computation for buffer backlog on AFDX networks with multiple priority virtual links

Moving away from the crowd: channel selection in uncoordinated unplanned dense wireless LANs

UAV-assisted reactive routing for urban VANETs

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Video popularity prediction in data streams based on context-independent features

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Feature extraction for the author name disambiguation problem in a bibliographic database

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Automated generation of policies to support elastic scaling in cloud environments

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Decaying inverted quadtree: index structure for supporting spatio-temporal-keyword query processing of microblog data

Propagating degrees of truth on an argumentation framework: an abstract account of fuzzy argumentation

Marketing campaign targeting using bridge extraction

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Nonconformance between programs and contracts: a study on C#/code contracts open source systems

Runtime verification of LTL on lossy traces

Improving service time with a multicore aware middleware

Improving recommender systems with an intention-based algorithm switching strategy

Attacks landscape in the dark side of the web

Convolutions through time for multi-label movie genre classification

Exploring music rankings with interactive visualization

A versatile high-performance visual fiducial marker detection system with scalable identity encoding

Reasoning and discovering novel treatments in linked social health records

A multi-swarm based approach with cooperative learning strategy for composite SaaS placement

Performance trade-offs on a secure multi-party relational database

Requirements for a mobile personal health record to improve cardiovascular healthcare services

Service-oriented domain and business process modelling

Exploiting implicit and explicit signed trust relationships for effective recommendations

Analysing the effect of candidate selection and instance ordering in a realtime algorithm configuration system

Evolutionary role mining in complex networks by ensemble clustering

APR: architectural pattern recommender

GiGAn: evolutionary mutation testing for C++ object-oriented systems

Towards energy-efficient storage servers

Text-based question routing for question answering communities via deep learning

TeICC: targeted execution of inter-component communications in Android

User generated soundscapes activating museum visitors

Cloud-based cooperative navigation for mobile service robots in dynamic industrial environments

Assessing end-to-end performance and security in cloud computing

Flamingo: a framework for smartphone security context management

Declarative process mining for DCR graphs

MILES: multiclass imbalanced learning in ensembles through selective sampling

Incremental maximum flow computation on evolving networks

A theoretical model for capturing the impact of design patterns on quality: the decorator case study

CARET model checking for pushdown systems

Learning hierarchical category influence on both users and items for effective recommendation

Measuring login webpage security

Predicting coordinated group movements of sharks with limited observations using AUVs

A novel ensemble approach on regionalized neural networks for brain disorder prediction

Survival analysis for modeling critical events that communities may undergo in dynamic social networks

On the significance of relationship directions in clustering algorithms for reverse engineering

An empirical study on the application of mutation testing for a safety-critical industrial software system

Dynamic elicitation of user preferences in a chat-based group recommender system

Irony detection on microposts with limited set of features

Sync/CC: continuations and aspects to tame callback dependencies on JavaScript handlers

Failure history data-based test case prioritization for effective regression test

Software effort estimation using classical analogy ensembles based on random subspace

Run-time component allocation in CPU-GPU embedded systems

On the randomness and seasonality of affective metrics for software development

SMT-based consistency analysis of industrial systems requirements

Analyzing emotion words to predict severity of software bugs: a case study of open source projects

Deriving use cases from business processes: a goal-oriented transformational approach

Generating test cases and procedures from use cases in dynamic software product lines

Improving recommender systems with an intention-based algorithm switching strategy

Content Provider	ACM Digital Library
Author	Shi, Fanjuan Ghedira, Chirine
Abstract	Modern e-commerce websites are equipped with hybrid recommendation systems aiming at bringing novelty and diversity to consumers. However, mobilizing several recommendation algorithms simultaneously not only incurs unnecessary computation costs, but also jeopardizes consumers' shopping experience due to excessive information load. Hence, recommending less but better (more relevant) items is critical, especially when consumers depend more and more on mobile devices, whose screen is much smaller. In this paper, we present a switching hybrid strategy capable of selecting recommendation algorithms according to consumers' instantaneous intention. Compared with a benchmark system which simultaneously uses all algorithms, our system achieved higher performance in terms of item view and consumption while sending less items, though both systems are empowered by the same recommendation algorithms. Meanwhile, the interface of our system is more concise and user-friendly. The result indicates that the intention as an important context factor can be used to enhance the performance and consumer experience of e-commerce recommender systems.
Starting Page	1668
Ending Page	1673
Page Count	6
File Format	PDF
ISBN	9781450344869
DOI	10.1145/3019612.3019761
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-04-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Machine learning Intention-based recommendation E-commerce
Content Type	Text
Resource Type	Article

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