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 Magdalini Eirinaki

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 magdalini.eirinakiatsjsu.edu

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Bibliometrics: publication history
Average citations per article16.54
Citation Count397
Publication count24
Publication years2003-2015
Available for download12
Average downloads per article2,168.83
Downloads (cumulative)26,026
Downloads (12 Months)599
Downloads (6 Weeks)90
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26 results found Export Results: bibtexendnoteacmrefcsv

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1
April 2018 Personal and Ubiquitous Computing: Volume 22 Issue 2, April 2018
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 0,   Downloads (Overall): 0

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Wearable technology allows users to monitor their activity and pursue a healthy lifestyle through the use of embedded sensors. Such wearables usually connect to a mobile application that allows them to set their profile and keep track of their goals. However, due to the relatively "high maintenance" of such applications, ...
Keywords: Collaborative filtering, Activity tracking, Personalized assistant, Wearable technology, Social recommendation

2
August 2016 ASONAM '16: Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 0,   Downloads (Overall): 0

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The advancements in wearable technology, where embedded accelerometers, gyroscopes and other sensors enable the users to actively monitor their activity have made it easier for individuals to pursue a healthy lifestyle. However, most of the existing applications expect continuous commitment from the end users, who need to proactively interact with ...
Keywords: activity tracking, personalized assistant, wearable technology, classification, recommendations

3
October 2015 BIG DATA '15: Proceedings of the 2015 IEEE International Conference on Big Data (Big Data)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Interactive database exploration is a key task in information mining. Relational databases have been long used as a critical infrastructure component to access and analyze large volumes of data in a variety of applications, including ad-hoc analytics over big data, large-scale data warehouses that support business-intelligence tools, and services for ...

4 published by ACM
September 2015 RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 12,   Downloads (12 Months): 85,   Downloads (Overall): 620

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As the amount of recorded digital information increases, there is a growing need for flexible recommender systems which can incorporate richly structured data sources to improve recommendations. In this paper, we show how a recently introduced statistical relational learning framework can be used to develop a generic and extensible hybrid ...
Keywords: graphical models, hybrid recommender systems, probabilistic programming, probabilistic soft logic

5 published by ACM
August 2015 ASONAM '15: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 48,   Downloads (Overall): 90

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Online advertisements are a major source of profit and customer attraction for web-based businesses. In a successful advertisement campaign, both users and businesses can benefit, as users are expected to respond positively to special offers and recommendations of their liking and businesses are able to reach the most promising potential ...
Keywords: advertising, personalization, targeted ads, Yelp, recommender

6 published by ACM
October 2014 RecSys '14: Proceedings of the 8th ACM Conference on Recommender systems
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 12,   Downloads (12 Months): 81,   Downloads (Overall): 594

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The success of a product/service in e-commerce largely depends on the user reviews. A product/service that has a higher average review or rating usually gets picked against a similar product/service with less favorable reviews. Reviews usually have an overall rating, but most of the times there are sub-texts in the ...
Keywords: sentiment analysis, feature ranking, recommendation engine

7 published by ACM
June 2014 WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 33,   Downloads (Overall): 173

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Smartphones are becoming a powerful platform for event recognition due to the number of sensors they are equipped with. This provides an opportunity to apply data mining techniques on movement data in order to recognize people's daily activities without changing their routine. In this paper, we present a methodology for ...
Keywords: activity recognition, significant places, classification, trajectory patterns

8
July 2012 Journal of Computer and System Sciences: Volume 78 Issue 4, July, 2012
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 16

The proliferation of blogs and social networks presents a new set of challenges and opportunities in the way information is searched and retrieved. Even though facts still play a very important role when information is sought on a topic, opinions have become increasingly important as well. Opinions expressed in blogs ...
Keywords: Opinion mining, Semantic orientation, Feature ranking, Search engine, Sentiment analysis

9
April 2012 International Journal of Web Based Communities: Volume 8 Issue 2, April 2012
Publisher: Inderscience Publishers
Bibliometrics:
Citation Count: 3

Online social networking is deeply interleaved in today's lifestyle. People come together and build communities to share thoughts, offer suggestions, exchange information, ideas, and opinions. Moreover, social networks often serve as platforms for information dissemination and product placement or promotion through viral marketing. The success rate in this type of ...

10
December 2011 ICDMW '11: Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

The proliferation of blogs and social networks presents a new set of challenges and opportunities in the way information is searched and retrieved. Opinions expressed in blogs and social networks are playing an important role influencing everything from the products people buy to the presidential candidate they support. This demonstration ...
Keywords: opinion mining, feature ranking, sentiment analysis, semantic orientation, search engine

11
December 2010 ICDMW '10: Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

This demonstration presents QueRIE, a recommender system that supports interactive database exploration. This system aims at assisting non-expert users of scientific databases by generating personalized query recommendations. Drawing inspiration from Web recommender systems, QueRIE tracks the querying behavior of each user and identifies potentially “interesting” parts of the database related ...
Keywords: recommender systems, collaborative filtering, relational databases, interactive database exploration

12
September 2010 Proceedings of the VLDB Endowment: Volume 3 Issue 1-2, September 2010
Publisher: VLDB Endowment
Bibliometrics:
Citation Count: 16
Downloads (6 Weeks): 3,   Downloads (12 Months): 12,   Downloads (Overall): 162

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This demonstration presents QueRIE, a recommender system that supports interactive database exploration. This system aims at assisting non-expert users of scientific databases by tracking their querying behavior and generating personalized query recommendations. The system is supported by two recommendation engines and the underlying recommendation algorithms. The first identifies potentially "interesting" ...
Keywords: interactive exploration, recommender systems, relational databases, collaborative filtering

13
August 2010 ASONAM '10: Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 3

Social network analysis has recently gained a lot of interest because of the advent and the increasing popularity of social media, such as blogs, social networks, micro logging, or customer review sites. Such media often serve as platforms for information dissemination and product placement or promotion. In this environment, influence ...
Keywords: social network analysis, graph metrics, Web 2.0, influence, trust

14
January 2010 International Journal of Data Warehousing and Mining: Volume 6 Issue 1, January 2010
Publisher: IGI Global
Bibliometrics:
Citation Count: 6

The Web is a continuously evolving environment, since its content is updated on a regular basis. As a result, the traditional usage-based approach to generate recommendations that takes as input the navigation paths recorded on the Web page level, is not as effective. Moreover, most of the content available online ...
Keywords: FP-Growth, Frequent Pattern Mining, GP-Close, Apriori, Generalized Association Rule Mining

15
June 2009 SSDBM 2009: Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 40

Relational database systems are becoming increasingly popular in the scientific community to support the interactive exploration of large volumes of data. In this scenario, users employ a query interface (typically, a web-based client) to issue a series of SQL queries that aim to analyze the data and mine it for ...

16 published by ACM
October 2008 WIDM '08: Proceedings of the 10th ACM workshop on Web information and data management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 0,   Downloads (Overall): 213

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As the Web continuously grows, the results returned by search engines are too many to review. Lately, the problem of personalizing the ranked result list based on user feedback has gained a lot of attention. Such approaches usually require a big amount of user feedback on the results, which is ...
Keywords: clickthrough data, clustering, ranking, relevance judgement, search engine, training

17 published by ACM
November 2007 WIDM '07: Proceedings of the 9th annual ACM international workshop on Web information and data management
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 0,   Downloads (12 Months): 6,   Downloads (Overall): 471

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Topic directories are popular means of organizing information resources in the web. In this work, we introduce a methodology for personalizing topic directories. The key feature of our methodology is that the personalization is based on the mining of navigation patterns extracted from previous user visits. These patterns, expressed in ...
Keywords: navigation patterns, personalization, sequential patterns, topic directories

18 published by ACM
October 2007 ACM Transactions on Internet Technology (TOIT): Volume 7 Issue 4, October 2007
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 6,   Downloads (12 Months): 21,   Downloads (Overall): 1,565

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The continuous growth in the size and use of the World Wide Web imposes new methods of design and development of online information services. The need for predicting the users' needs in order to improve the usability and user retention of a Web site is more than evident and can ...
Keywords: Markov models, Web personalization, link analysis, recommendations, usage-based PageRank

19
November 2005 ICDM '05: Proceedings of the Fifth IEEE International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 11

Recommendation algorithms aim at proposing "next" pages to a user based on her current visit and the past users' navigational patterns. In the vast majority of related algorithms, only the usage data are used to produce recommendations, whereas the structural properties of the Web graph are ignored. We claim that ...

20 published by ACM
November 2005 WIDM '05: Proceedings of the 7th annual ACM international workshop on Web information and data management
Publisher: ACM
Bibliometrics:
Citation Count: 15
Downloads (6 Weeks): 4,   Downloads (12 Months): 22,   Downloads (Overall): 1,310

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Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the web logs. The recorded users' navigation is used to extract popular web paths and predict current users' next steps. Such purely usage-based probabilistic models, ...
Keywords: Markov models, PageRank, link analysis, web personalization



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