[PDF] DATA EXTRACTION BY INFORMATION PROCESSING
FROM VARIOUS USER RECOMMENDED SYSTEMS
... In this recommendation system,
since they are growing up for various user needs. ... 2.8
Performance Analysis of Book Recommendation System on
Hadoop Platform They consider the recommendation engines are
computational intensive and hence ideal for Hadoop Platform. ...
[PDF] Deep Matrix Factorization for Recommendation
M
van Baalen - 2016
... proprietary recommendation system by
more than 10% [4], and claims that their current recommendation system is
worth $1 billion per year [12]. ... or implicit, as is the
case when a recommendation system has access to a
user's click behavior and uses that to infer preference. ...
B
Sobotka - Forum Pedagogiczne, 2016
... 111/01). European
Commission. (2009). Recommendation on the establishment of a
European Credit system for Vocational Education and Training
(ECVET). (OJC 155, 8.7.2009). European Commission. (2010). An Agenda ...
New obstruction lighting system for
aviation safety
F
Pérez-Ocón, AM Pozo, O Rabaza - Engineering Structures, 2017
... It has a DC forward
voltage of 2.5 V (system operating on DC volts 24–48 V [9]), a DC
forward intensity current of 350 mA (current 75–500 mA [9]), an operating
temperature of between −40 °C and 120 °C (−40° to ... The recommendation of
the ICAO is 2 low-intensity Type B lamps ...
[HTML] Long-term Environmental Assessment
of Waste from PyroGreen System
H
Ju, I Hahm,
... Final Recommendation for
Spent Nuclear Fuel Management.
[PDF] A Survey On Chatbot Conversational
Systems
A
Shaikh, G Phalke, P Patil,
... is applied to each
chat and task-oriented dialogues [5]. Also, to create rapport with users, we
tend to adopted personalization methodology to chatting system. Personalization
has been researched within the space of knowledge retrieval and recommendation as
personalized ...
[PDF] Capturing System Performance
Complexity using Simulation Based System Level Modeling
MM
... Answers for questions
with simulation results, and recommendation for further
experiments is speci- fied in this stage. ... It in- cludes
declaration of parameter, Data structure, global and local memories
(variables). Fig. 2 Simulation based System level modeling flow
Page 4. ...
[PDF] A Study of Hybrid
Heterogeneous System Based on Big Data Query
S
Hailing - database, 2016
... LDAP server
Directory Service System ... It is mentioned above
that LDAP servers are distributed hierarchically so each level of server
features recommendation between upper and lower levels which
enables servers to connect with each other as well as transmit
information. ...
[PDF] Designing and implementing the
control system software for a hybrid city bus prototype
J
Alho - 2016
... Jani Alho DESIGNING
AND IMPLEMENTING THE CONTROL SYSTEM SOFTWARE FOR A
C
Armstrong - 2016
... EU Asylum
Governance and the Evolution of the
X
Wang, F Luo, Y Qian, G Ranzi - PloS one, 2016
Abstract
With the rapid development of ICT and Web technologies, a large an amount
of information is becoming available and this is producing, in some
instances, a condition of information overload. Under these conditions,
it is difficult for a person to locate and access
A Top-N Algorithm-based
Personalized Learning Recommendation System for Digital
Library
X
Gao, W Huang,
Abstract
The digital library brings convenience, but meanwhile, it also brings the
problems of overloaded information and over-diversified forms, thus search
becomes difficult. Personalized Learning Recommendation
System is the key to solve the problems, and
An Adaptive and Personalized
English Reading Recommendation System
TT
Wu, SH Huang - Learning, Design, and Technology, 2016
Abstract
Adaptive and personalized English learning systems are rapidly growing
in popularity, providing learning content, and satisfying the demands of learners
according to various learning conditions and situations. Appropriate
contents can influence learning
The Research of Recommendation
System Based on User-Trust Mechanism and Matrix Decomposition
PP
Zhang, B Jiang - … Conference on Algorithms and Architectures for …, 2016
Abstract Recommendation
system is a tool that can help users quickly and effectively
obtain useful resources in the face of the large amounts of information.
Collaborative filtering is a widely used recommendation technology
which recommends source for users through
DL
Nguyen, TM Le - Knowledge and Systems Engineering (KSE), 2016 …, 2016
Abstract:
The evolution of Facebook social network with event feature helps improve
the quality of interaction among users in real life. Different from other
objects such as movies and books, recommendation problem
for events is inherently cold-start and affected by the
[PDF] Efficient Recommendation
System Using Decision Tree Classifier and Collaborative Filtering
SD
Jadhav, HP Channe - 2016
Abstract-There
has been an exponential growth in digital information and there are
large number of choices for products and services. So, there is need to
filter, prioritize and efficiently deliver relevant information in order
to efficiently tackle the problem of information
A Novel Recommendation
System for Dental Services Based on Online Word-of-Mouth
WC
Hsu, LC Chen - Information Resources Management Journal (IRMJ), 2017
Abstract
Electronic word of mouth (eWoM) is one of the most valuable resources available
to consumers in the search for products and services. This paper presents
a novel recommendation system in which eWoM citations compiled
using search engines are
Building hybrid recommendation
system based on Hadoop framework
AG
Prasad, MK Gourisaria, LK Vashishtha - Electrical, Electronics, and
Optimization …, 2016
Abstract:
As in Real world The Recommender system plays a measure role
by which we can recommend the perfect item from a huge set of products. As
day to day numbers of users and items of a recommended system is
growing rapidly, so as a result Single node machine
Methods for building course recommendation systems
HL
Thanh-Nhan, HH Nguyen, N Thai-Nghe - Knowledge and Systems Engineering ( …,
2016
... By using
course recommendation system, students can early
predict their learning results as well as select appropriate courses so that
they can have better studying plans. ... Next, we select the
best model for building the course recommendation system. ...
R
Shanthia, SP Rajagopalan - International Journal of Engineering, 2016
... The frame work is
addressed to any on- line product recommendation system and
can be used or extended to other products/domains. ... Keywords:
Semantic recommendation system, first-rate problem,
sparsity problem. Page 2. 160 R. Shanthi, Dr. SP Rajagopalan ...
Todkar,
SZ Gawali, AD Kadam - Electrical, Electronics, and Optimization …, 2016
Abstract:
Information on web has diverse Pattern and analyzing this pattern is
challenging task. Precision and Recall Evaluate Performance of Search
Engines. Precision can only be achieved with Higher Relevance Feedback
Functionality. Today large Number of users
User Model Enrichment for Venue Recommendation
M
Aliannejadi, I Mele, F Crestani - Information Retrieval Technology, 2016
... Given a user and a
list of 30 candidate suggestions, the recommendation system ranks
them. ... In: TREC,
Interactive mobile news
recommender system: A preliminary study of usability factors
X
Su, Ö Özgöbek, JA Gulla, JE Ingvaldsen, AD Fidjestøl - Semantic and Social
Media …, 2016
... In traditional
recommender systems, recommendation strat- egy is set by
the system and it is a black box to the user. ... This
is also pointed out in [11], that in many applications people use a recommendation system for
more than an exact anticipation of their tastes. ...
A Self-Adaptive Context-Aware Group
Recommender System
R
Khoshkangini, MS Pini, F Rossi - AI* IA 2016 Advances in Artificial
Intelligence, 2016
... feedback. In:
Workshop on Context-Aware Recommender Systems (CARS 2009) (2009). 14. Oku, K.,
et al.: A recommendation system considering users
past/current/future contexts. In: Proceedings of CARS (2010). 15. Liu, W ...
Improved Identification of Tweets
that Mention Books: Selection of Effective Features
... We are currently
developing an online book recommendation system that
aims to simulate the situation where an individual discovers books by chance
through daily informal conversation with friends [4]. This is intended to
replicate, in the digital world, the experience of ...
A Dynamic and Interactive
Monitoring System of Data Center Resources
LF
Yu, SE Zhou - ITM Web of Conferences, 2016
... Related
Articles. Recommendation System of Program Based
on REST Style MATEC Web of Conferences 63, 05002 (2016). Application and
Research on The Model of Distributed Intelligent Cooperative Decision
Support System ITM Web of Conferences 7, 06003 (2016). ...
Personalized recommender system for
event attendees
A
Arens-Volland, Y Naudet - Semantic and Social Media Adaptation and …, 2016
... We focus here on
the recommendation system, which exploits professional
social networks to mine interests and expertise field of attendees; and
semantic enrichment of related concepts. We discuss the usefulness of the system ...
[PDF] An Efficient Agent-Based System to
Extract Interests of User Groups
B
Hawashin, A Mansour - Proceedings of the World Congress on Engineering …, 2016
... systems. [21]
developed a reinforcement learning strategy for market based multi agent recommendation system when
many recommender systems are used. [20] proposed a design framework for multi
agent interest based system. ...
Design and Implementation of the
Omni Media Content Production and Service Platform
SM
Liu, LJ Yang, SX Cao - ITM Web of Conferences, 2016
... Related
Articles. Recommendation System of Program Based
on REST Style MATEC Web of Conferences 63, 05002 (2016). The Undergraduate
Scientific and Technological Innovation and Entrepreneurship Education Platform
MATEC Web of Conferences 44, 02045 (2016). ...
An implicit feedback integrated
LDA-based topic model for IPTV program recommendation
J
Zhang, Y Li, M Chen, L You - … and Information Technologies (ISCIT), 2016 16th
…, 2016
... The
traditional recommendation system only considers
the users' playing behavior, but other implicit feedback behaviors of users,
such as browsing, collecting also reflect the users' preference. ... Recommendation system relies
on different types of input. ...
Remote Medical Monitoring System in
Wireless Sensor Networks
C
Zhang - International Journal of Online Engineering (iJOE), 2016
... Chao Zhang.
Abstract. In order to solve the problem of monitoring remote medical care to
identify good medical services, a medical service recommendation system
based on privacy-preserved reputation scoring is designed. ...
Link Prediction via Mining Markov
Logic Formulas to Improve Social Recommendation
Z
Wei, J Zhao, K Liu, S He - Knowledge Graph and Semantic Computing: Semantic, …,
2016
... Social recommendation system is
introduced to solve this problem and brings a new challenge of predicting
peoples preferences. ... In this paper, we propose a novel
approach to bring logic formulas in social recommendation system and
try to solve the above problems. ...
[PDF] Friend Recommendation using
FLDA Topic Assignment Model in Microblogging System
P
Jain, SK Guru - 2016
ABSTRACT:
As the requirement of emerging real time information, microblogging a form
of social media is becoming people's favorite choice for searching
information or sharing opinion. In microblogging, user is allowed to
publish their post or share opinion but ...
A movie cold-start recommendation method
optimized similarity measure
P
Yi, C Yang, X Zhou, C Li - … and Information Technologies (ISCIT), 2016 16th …,
2016
... In the actual
video recommendation system, the number of users is often
larger than the number of items, which means the user similarity calculation is
much more complex than the calculation of the item similarity. Therefore, the
item based ...
Rules based system to
educative personalized strategy recommendation according to
the CHAEA test
PAR
Marín, AO Herrán, NDD Méndez - Learning Objects and Technology (LACLO), …, 2016
Abstract:
Recommender educational strategies to students is a difficult task, as they
must adapt to the way students acquire and process information. On the
other hand, tests have learning styles that are mechanisms to determine
the predominant style for processing ...
... DynaEgo 355 how
well the recommendations match the real rating record. The recommender system selects
the top-5 items as the recommendations. ... 2, DynaEgo
maintains the F1-Score larger than 0.6, which indicates that DynaEgo maintain a
high recommendation quality. ...
Hybrid Recommender Systems based on
Content Feature Relationship
... These customers not
only expect the recommendation system to find good
items for them, but also they care about the novelty and diversity of the items
in the recommendation list. Therefore, system owners
often employ sophisticated ...
MLLDA: Multi-level LDA for
Modelling Users on Content Curation Social Networks
L
Wu, D Wang, X Zhang,
... of latent
interests, we compute the similarity between u and each of the other users to
rank users for recommendation. ... The popular
Chinese word segmentation tool ICTCLAS [37](
Recommender system to
identify students with learning deficiencies in assessments
MJ
Ibarra, C Serrano, AF Navarro - Computers in Education (SIIE), 2016
International …, 2016
... A. The Recommendation Process
The system uses a decision matrix to address multiple criteria
and variables in order to analyze the Questions and Indicators for each
evaluated area: Mathematics, Communication, Social and Science. ...
G
Chen, T Gao, X Zhu, H Tian, Z Yang - Physica A: Statistical Mechanics and its
…, 2016
Recommendation system provides
a promising way to alleviate the dilemma of information overload. In physical
dynamics, mass diffusion has been used to design ef. ... Abstract.
Recommendation system provides a promising way to
alleviate the dilemma of information ...
[PDF] Internet of Health: Applying IoT
and Big Data to Manage Healthcare Systems
... Section 3 gives a broad
overview of Cloud-Based
Personalized ranking for tag-based
item recommendation system using tensor model
I
Noor - 2016
This
research is a step forward in the study of generating item recommendations for
the tag- based systems, in which two efficient tagging data interpretation
schemes and four ranking methods are developed. The interpretation
schemes apply ranking constraints to interpret ...
[PDF] A SURVEY ON TRUST BASED RECOMMENDATION SYSTEMS
B
Baby,
... sites. One of the
most popular technique to implement a recommendation system
is Collaborative Filtering (CF) [1]. It tries to find users similar to an
active user and recommend him/her the items liked by these similar users.
By ...
[PDF] FRIEND-TO-FRIEND SECURED
RELATIONSHIP NETWORK BASED ON ONLINE BEHAVIOUR
B
Tekale,
... By measuring the
frequency of the activities and states done by the users and updating the
dataset according to the activities, applying FP- Growth algorithm to classify
the user behavior with some criteria, then apply multilayer thresholding for
friend recommendation system. ...
Linguistic Features and Learning to
Rank Methods for Shopping Advice
XH
Nguyen, LM Nguyen - Integrated Uncertainty in Knowledge Modelling and …, 2016
... We present a recommendation system (RS)
which helps users in buying products based on summarizing all the customer
reviews of product attributes. Our recommendation system extracts
users' opinions for products through a decision tree. ... 6.
Our recommendation system. ...
An efficient parallel
trust-based recommendation method on multicores
H
Liu, L Jing, M Cheng - Proceedings of the First International Workshop on …,
2016
... In this paper, we
focus on the recommendation system to integrate
the preference information and trust relations among users, following the
trust-based recommendation model (TbRM) [1] which considers
both the user's reputation and his/her nearest neighbors in the social ...
Pecos: A scalable solution for
analyzing and managing qualitative data
R
... Work is under
progress to (1) optimize the algorithms in
S
Pradhan, V Gay,
... Therefore, an
appropriate recommendation system is very critical
for healthcare information. ... Trust in dentists is critical
for a dental care recommendation system as the
trust is exposed in the dental crowd sources one way or another via star
ratings on criteria and feedback. ...
Cell phone-based diabetes
self-management and social networking system for American
Indians
J
Li, J Kong - e-Health Networking, Applications and Services ( …, 2016
... We propose an
ontology-enhanced recommendation system (Fig. 2)
to provide real-time personalized recommendation for AI
diabetes patients. ... We implement an ontology-based inference
engine to fulfil the functionality of a recommendation system. ...
Online Music Application with Recommendation
System
I
Paraicu, C Dobre - Advances in
Abstract
Unlike regular DVD stores that allow the customer to choose from a relatively
small number of products, online music platforms such as Spotify or
YouTube offer large numbers of songs to their users, making the online
selection process quite different from the ...
An ensemble-based recommendation engine
for scientific data transfers
W
Agnew, M Fischer, I Foster, K Chard - … of the 7th International Workshop on
Data- …, 2016
... analyzing the
collection. Work is under progress to (1) optimize the algorithms in
Single channel noise
reduction system in low SNR
... The performance of
a noise reduction system has a trade-off among musical noise,
speech distortion and noise reduction. Both PESQ–MOS and SNRSEG cannot portray
the whole picture of these trade-offs. Therefore, ITU-T Recommendation P.835
(composite measure) is ...
Finite Element Simulations with
Adaptively Moving Mesh for the Reaction Diffusion System
C
Xie, X Hu - Numerical Mathematics: Theory, Methods and …, 2016
... [19] JAPearson ,
Complex patterns in a simple system, Science, 261 (1993), pp.
189–192. ... Select organisation A recommendation email
will be sent to the administrator(s) of the selected organisation. Indexed by
Google. Or enter your administrator's email ...
The Present Visual Equipment System and
Its Application in fMRI
J
Guo, Y Feng, M Wang, J Wu - Improving the Quality of Life for Dementia Patients
…, 2017
... The Present Visual
Equipment System and Its Application in fMRI. ... Abstract.
The visual system is the part of the central nervous system that
gives organisms the ability to process visual details and enables the formation
of several non-image photo response functions. ...
CK
Chiu, JCR Tseng, TY Hsu - Personal and Ubiquitous Computing, 2016
... optimization during
the recommendation process. 2.2 U-learning environment In a
context-aware ubiquitous learning (u-learning) envi- ronment, individual
learners are guided to learn in a real- world learning environment with
supports or instructions from a computer system. ...
[PDF] Ambient Search: A Document
Retrieval System for Speech Streams
B
Milde, J Wacker, S Radomski, M Mühlhäuser… - Proc. COLING,
... Our evaluation on
manual transcriptions also suggests that there is quite a large headroom for our system to
benefit from any future reductions in WER of the online speech
recognition ... 2015. Keyword Extraction and Clustering for
Document Recommendation in Conversations. ...
B
Asiedu,
... Environmental
factors such as temperature, salinity and pH of the rearing system may
affect the mineral dietary levels and trace elements to the fish ... Conclusions
and Recommendation: Feed and water quality are the two most
important factors that affect the growth of O. niloticus ...
C
CONNOR, A JACOBSON, A BONNIE, G GRIDER - … Journal of Education in System …,
2016
... 30 The USENIX
Journal of Education in System Administration Volume 2, Number
1• November 2016 www. ... The application package consists of
resume, transcripts (initially unofficial, but updated to official upon
selection), one letter of recommendation from a faculty
member ...
Model driven advanced hybrid cloud
services for big data: paradigm and practice
X
Yang, T Lehman - Proceedings of the 7th International Workshop on Data …, 2016
... analyzing the
collection. Work is under progress to (1) optimize the algorithms in
R
Lafta, J Zhang, X Tao, Y Li, VS Tseng - … Conference, ADMA 2016, Gold Coast,
QLD, …, 2016
... 2 Proposed Recommendation System. ... Specifically,
there are three parameters in the recommendation system requiring
configuration before use. The first parameter is the medical measurement (eg,
heart rate, blood pressure, etc.) that the prediction is working on. ...
Training and Evaluating Multimodal
Word Embeddings with Large-scale Web Annotated Images
J
Mao, J Xu, K
... related words and
phrases. The word/phrase pairs in this evaluation dataset are collected from
the click data with millions of users in a recommendation system,
thus contain rich semantic relationships. Based on these datasets ...
Recommending Features of Mobile
Applications for Developer
H
Yu, Y Lian, S Yang, L Tian, X Zhao - Advanced Data Mining and Applications:
12th …, 2016
... Based on the above
analysis, this paper presents a feature recommendation of
Mobile Applications for developers, namely, developers input the description
snippets or some APIs information of an App which is to be developed or
upgraded, recommendation system will return ...
[PDF] Embedding Projector: Interactive
Visualization and Interpretation of Embeddings
D
Smilkov, N Thorat, C Nicholson, E Reif, FB Viégas… - arXiv preprint arXiv: …,
2016
... model. An engineer
who creates an embedding of songs for a recommendation system
might want to verify that the nearest neighbors of "Stairway to
Heaven" include "Whole Lotta Love" and not "Let It Go"
from Frozen. Meanwhile ...
Semantic-Based Recommendation Method
for Sport News Aggregation System
QM
Nguyen, TT Nguyen, TD Cao - Research and Practical Issues of
Abstract
News on the Internet today plays an important role in helping people access
daily information around the world. News aggregators are websites that
collect and provide content from different sources in one location for
easy viewing. However, the increasing ...
[HTML] Online game props recommendation with
real assessments
DC
Zhan, J Tang, ZH Zhou - Complex & Intelligent Systems, 2016
... 2 to forecast
whether a player wishes to purchase a certain group of props, and then the recommendation system can
target advertisements better to increase revenues. ... In this
phase, recommendation system should be taken into con-
sideration to reduce the cost of advertising. ...
[PDF] Solving Cold-Start Problem in
Large-scale Recommendation Engines: A Deep Learning Approach
J
Yuan,
... Page 4. Figure 2:
(a) Framework of CF Based Recommendation System: The
only items to be considered are those which gained some behavioral data like
ratings from users while all the new items are not considered until they gain
such behavioral data. ...
Privacy-preserving collaborative
recommendations based on random perturbations
N
Polatidis, CK Georgiadis,
... recommendations. In
typical scenarios, a recommendation system which
is based on the client-server model, accepts requests from users and responds
with recommendations. The ratings are submitted directly from the client to the
server. ...
[PDF] Minimax Optimal Alternating
Minimization for Kernel Nonparametric Tensor Learning
T
Suzuki, H Kanagawa, H Kobayashi,
... This model has been
applied to several problems such as multitask learning, recommendation system and
spatiotemporal data analysis. Although we focus on the squared loss regression
problem, the discussion in this paper ...
Systematic Analysis of Chinese
Coastal Urban Drainage Management System
X
Zhu - 2016
... the study of
Product Ramp-up for Semiconductor Manufacturing Automated Recommendation of
Control System Setup
R
Willmann,
Abstract
Predictable and fast production launch of new products (product ramp-up) is
a crucial success factor in the
production industry in general, and for the production of integrated circuits (ICs) in particular.
During the ramp-up phase of the product there is, ...
Building course semantic view for representing course
content concisely
S Zhang, Y Wang,
entire content of a course. Also, it can provide
technology support for semantic searching of courses for some online systems
such as e-learning system, and e-book market recommendation system. The main
task of course semantic ...
From stay to play–A travel planning tool based on
crowdsourcing user-generated contents
X Zhou, M Wang, D Li - Applied Geography, 2017
Fig. 4 Fig. 4 Fig. 4. The web interface for the proposed
recommendation system. On the Hotel panel, when adjusting the threshold of each
dimension, the candidate hotels will be updated accordingly in the box below.
On the ...
Adaptive recommendation to dynamically
changing profiles for delivery of ubiquitous services
A Amato, BD Martino, M Scialdone,
This paper is a revised and expanded version of a paper
entitled 'Personalized recommendation of semantically annotated media contents'
presented at the International Workshop on Agents for Cloud (A4C) 2013, Prague
... system types that means the way it is implemented ...
System and
method for providing targeted recommendations to segments of users of a virtual
space
T Lan, B Liu, S Shenoy, K Yu, L Zhao - US Patent
9,486,709, 2016
The system of claim 1 , wherein the relative
effectiveness of a given recommendation is determined as a function of a number
of users that perform a recommended action included in the given
recommendation. 8. The system ...
MK
The recommendation system can be employed online for
certain types of business or activity, such as e-commerce (eg, Amazon 1 a book
recommendation system), online news aggregators (eg, Digg 2 ) and online video
sharing (eg, YouTube 3 ). This is because the Internet ...
Telecommunication price-based routing apparatus, system and
method
W Gray, B Chen, PH Engebretson - US Patent 9,491,312,
2016
in response to the identified destination and its
corresponding price change recommendation, the system may optionally perform an
expected minutes of usage analysis to quantify or otherwise estimate usage
volume at the identified destination if the price change is applied. ...
[PDF] Learning for Expertise Matching with Declination
Prediction
Y Qian, J Tang - arXiv preprint arXiv:1611.04363, 2016
Wu, S., Sun, J., Tang, J.: Patent partner recommendation
in enterprise social networks. In: WSDM'13. pp. 43–52 (2013) 26. Yang, KH, Kuo,
TL, Lee, HM, Ho, JM: A reviewer recommendation system based on collaborative
intelligence. In: WI-IAT'09. vol. 1, pp. 564–567. ...
Self-authored interest profiles for personalised
recommendations
R Binns - International Journal of Internet Marketing and …, 2016
API' from a leading international e-commerce site.12 This system is based on a proprietary recommendation algorithm working from the purchase history of several hundred million active users.13 Rather than attempt to simulate a product recommendation system from scratch, I ...
GAMING TRACKING AND RECOMMENDATION SYSTEM
RJ
Jordan - US Patent 20,160,321,855, 2016
Abstract:
A recommendation system is provided, including a
non-transitory memory, a processor, and a player interface. The
non-transitory memory is configured to store a database including the
player's playing history for a plurality of electronic gaming ...
Asset recommendations in a
VOD system with asset effectiveness determinations
J
Canney,
In
one embodiment, an asset recommendation system operable
to recommend insertion of. ... 2. The asset recommendation system of
claim 1, wherein: the recommendation engine is further operable
to generate the anonymous user profile based on the VOD content. ...
E-Commerce Product Recommendation Method
Based on Collaborative Filtering Technology
JB
Xia - Smart Grid and Electrical Automation (ICSGEA), …, 2016
... recommender system is
designed to provide the service of personalized recommendation on
products to various users [7]. E-commerce product recommendation system focuses
on user preferences, and allows users to quickly and accurately choose the
products they require. ...
A holistic and adaptive approach
for automated prototyping of image processing functionality
A
Jungmann, B Kleinjohann - Emerging Technologies and Factory Automation (ETFA …,
2016
... algorithm.
Decision-making between alternative composition steps is sup- ported by a
learning recommendation system, which keeps track of
valid composition steps by automatically constructing a composition grammar.
In ...
Recommendation in heterogeneous information network via dual similarity
regularization
J
Zheng, J Liu, C Shi, F Zhuang, J Li, B Wu - International Journal of Data
Science and …, 2016
... However, most of
them cannot deal with the cold-start problem which is a situation that recom- mender system fails
to draw recommendation for new items, users or both. ... The
low-rank matrix factorization has been widely studied in recommendation system. ...
Suitable Route Recommendation Inspired
by Cognition
H
Wang, J Huang, E Zhou, Z Huang,
... Ground Truth: We
invited 9 subjects who often traveled in
Intelligent Tourism Route
Optimization Method Based on the Improved Genetic Algorithm
X
Ma - Smart Grid and Electrical Automation (ICSGEA), …, 2016
... Based on the above
analysis, it is of great importance for us to develop an intelligent tourism route recommendation system[5].
However, tourism route recommendation is different for various
regions, and then and how to improve the competitiveness of enterprises by
intelligent ...
Y
Shen, X Song, J Gao, C Guo, B Byun, Y Wang… - US Patent 20,160,321,283, 2016
Techniques
for providing a people recommendation system for
predicting and recommending relevant people (or other entities) to include in a
conversation. In an exemplary embodiment, a plurality of con. ...
Multi-level Big Data Content
Services for Mental Health Care
J
Chen, J Han, Y Deng, H Zhong, N Wang, Y Li, Z Wan… - Wisdom Web of Things, 2016
... Medical literatures
are important information sources for clinical and pathology studies of mental disorders.
Aiming at a mass amount of literatures, a literature recommendation system is
useful to doctors, researchers and developers which focus on studies of mental
disorders. ...
Solving the
stability–accuracy–diversity dilemma of recommender systems
L
Hou, K Liu, J Liu, R Zhang - Physica A: Statistical Mechanics and its
Applications, 2016
... triple dilemma of
recommender systems. Keywords. Recommender system; Recommendation stability;
Stability–accuracy–diversity dilemma; Heat Conduction algorithm. 1.
Introduction. Recent decades witnessed the explosive ...
SYSTEMS AND METHODS FOR
CONTEXTUAL RECOMMENDATION OF LEARNING CONTENT
The recommendation system is
a function of learner's p. ... FIG. 4 along with FIGS. 4(a),
4(b), 4(c) and 4(d) depict the reasoning model used in recommendation system in
accordance with one preferred embodiment of present disclosure. DETAILED
DESCRIPTION. ...
SYSTEM AND METHOD FOR RECOMMENDING TARGET LOCATIONS
MM
Scheja, R YU, VS Vaze, H Cao, SR Bagheri… - US Patent 20,160,321,618, 2016
... BRIEF DESCRIPTION
OF THE DRAWINGS. FIG. 1 illustrates a diagram of a target recommendation system according
to an embodiment of the present invention; FIG. ... FIG. 1 schematically
depicts a non-limiting embodiment of a target recommendation system 100. ...
ADVICE SYSTEM STRUCTURED
TO IDENTIFY AN APPROPRIATE MEDICAL DEVICE BASED UPON GENETIC ANALYYSIS
JS
Grashow - US Patent 20,160,321,429, 2016
... more attributes.
The advice system then outputs a recommendation of
the one or more medical devices. The system ... more
attributes. The advice system then outputs a recommendation of
the one or more medical devices. The system ...
A Distributed and Adaptive Trust
Evaluation Algorithm for MANET
D
Zhao, Z Ma, D Zhang - Proceedings of the 12th ACM Symposium on QoS and …, 2016
... Such devices
produce a hugh amount of e-health data that are sent and stored into the hybrid
storage system. ... Second, calculate the recommendation trust
based on the recommendation reliability and the recommendation familiarity;
put forward the adaptively weighting method ...
Cost, Quality and Distance Based
Method and System for Health Care Referrals
R
Basri - US Patent 20,160,321,412, 2016
... An additional
advantage of the system of the present invention is that the recommendation algorithm
can be configured to prefer patient care providers within a health insurance
providers network, thereby reducing cost of care. ...
DECISION SUPPORT TOOL FOR BUSINESS RULES
MANAGEMENT IN A BOOKING SYSTEM
P
Dube, JPM Goncalves, SN Mahatma, MR Naphade - US Patent 20,160,321,609, 2016
... Further steps in
one or more embodiments include booking shipment of goods based on the output
and/or actually shipping goods in accordance with a recommendation from
the system. In another aspect, an exemplary apparatus (eg, system 1200,
FIG. ...
DECISION SUPPORT TOOL FOR BUSINESS
RULES MANAGEMENT IN A BOOKING SYSTEM
P
Dube, JPM Goncalves, SN Mahatma, MR Naphade - US Patent 20,160,321,607, 2016
... Further steps in
one or more embodiments include booking shipment of goods based on the output
and/or actually shipping goods in accordance with a recommendation from
the system. In another aspect, an exemplary apparatus (eg, system 1200,
FIG. ...
TRAIN BRAKE SAFETY MONITORING AND
FAULT ACTION SYSTEM
EC
Wright, J Connell - US Patent 20,160,318,497, 2016
... report can be sent
to the railroad operations office. Additionally, system 10 may
make a recommendation to the train driver to compensate for
diminished brake power. For example, if the current actual brake power is
determined ...
VALUABLE MEDIUM HANDLING SYSTEM AND
VALUABLE MEDIUM HANDLING METHOD
K
Mizumoto - US Patent 20,160,321,854, 2016
... Title: VALUABLE
MEDIUM HANDLING SYSTEM AND VALUABLE MEDIUM HANDLING ETHOD.
Document Type and Number:
Everyday Modulation: Dataism,
Health Apps, and the Production of Self-Knowledge
B
Nicholls - Security, Race, Biopower, 2016
... (UP system app).
This recommendation system is produced through
statistical analysis. As I stated earlier, the app makes correlations between
its key indicators—steps, sleep, food, mood—and then produces the tailored
recommendations and encouragements. ...