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 Gilad Katz

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Average citations per article2.64
Citation Count29
Publication count11
Publication years2009-2017
Available for download4
Average downloads per article210.50
Downloads (cumulative)842
Downloads (12 Months)119
Downloads (6 Weeks)27
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11 results found Export Results: bibtexendnoteacmrefcsv

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1
November 2017 World Wide Web: Volume 20 Issue 6, November 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

We present a new concept--Wikiometrics--the derivation of metrics and indicators from Wikipedia. Wikipedia provides an accurate representation of the real world due to its size, structure, editing policy and popularity. We demonstrate an innovative "mining" methodology, where different elements of Wikipedia --- content, structure, editorial actions and reader reviews --- ...
Keywords: Ranking, Wikipedia

2 published by ACM
October 2017 ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers: Volume 9 Issue 2, January 2018
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 18,   Downloads (12 Months): 45,   Downloads (Overall): 45

Full text available: PDFPDF
High-quality, labeled data is essential for successfully applying machine learning methods to real-world text classification problems. However, in many cases, the amount of labeled data is very small compared to that of the unlabeled, and labeling additional samples could be expensive and time consuming. Co-training algorithms, which make use of ...
Keywords: Co-training, ensemble, text classification

3
August 2015 Knowledge-Based Systems: Volume 84 Issue C, August 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 6

We present ConSent, a novel context-based approach for the task of sentiment analysis. Our approach builds on techniques from the field of information retrieval to identify key terms indicative of the existence of sentiment. We model these terms and the contexts in which they appear and use them to generate ...
Keywords: Sentiment analysis, Context, Machine learning, Noisy data

4
May 2015 MOBILESoft '15: Proceedings of the Second ACM International Conference on Mobile Software Engineering and Systems
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 31,   Downloads (Overall): 83

Full text available: PDFPDF
While location prediction of smartphone users has made great strides in recent years, a major challenge remains. As users spend the majority of their time is several fixed locations (home, work), existing algorithms are unable to identify the exact time in which a person is likely to depart from one ...
Keywords: location prediction, machine learning

5
May 2015 MOBILESOFT '15: Proceedings of the 2015 2nd ACM International Conference on Mobile Software Engineering and Systems
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

While location prediction of smartphone users has made great strides in recent years, a major challenge remains. As users spend the majority of their time is several fixed locations (home, work), existing algorithms are unable to identify the exact time in which a person is likely to depart from one ...
Keywords: Location Prediction, Machine Learning

6 published by ACM
July 2014 SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 2,   Downloads (12 Months): 23,   Downloads (Overall): 291

Full text available: PDFPDF
The query-performance prediction task is to estimate retrieval effectiveness with no relevance judgments. Pre-retrieval prediction methods operate prior to retrieval time. Hence, these predictors are often based on analyzing the query and the corpus upon which retrieval is performed. We propose a {\em corpus-independent} approach to pre-retrieval prediction which relies ...
Keywords: query-performance prediction, wikipedia

7
March 2014 Information Sciences: an International Journal: Volume 262, March, 2014
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 6

A new context-based model (CoBAn) for accidental and intentional data leakage prevention (DLP) is proposed. Existing methods attempt to prevent data leakage by either looking for specific keywords and phrases or by using various statistical methods. Keyword-based methods are not sufficiently accurate since they ignore the context of the keyword, ...
Keywords: Context, Security, Information leakage

8
December 2012 ICDM '12: Proceedings of the 2012 IEEE 12th International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Decision trees have three main disadvantages: reduced performance when the training set is small, rigid decision criteria and the fact that a single "uncharacteristic" attribute might "derail" the classification process. In this paper we present ConfDTree - a post-processing method which enables decision trees to better classify outlier instances. This ...
Keywords: decision trees, confidence intervals, imbalanced datasets

9
December 2012 AMT'12: Proceedings of the 8th international conference on Active Media Technology
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 4

In this paper, we propose a novel method for the prediction of a person's success in an academic course. By extracting log data from the course's website and applying network analysis methods, we were able to model and visualize the social interactions among the students in a course. For our ...
Keywords: machine learning, score prediction, multi graph, data mining, social network analysis, web log analysis

10 published by ACM
October 2011 RecSys '11: Proceedings of the fifth ACM conference on Recommender systems
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 1,   Downloads (12 Months): 21,   Downloads (Overall): 424

Full text available: PDFPDF
One important challenge in the field of recommender systems is the sparsity of available data. This problem limits the ability of recommender systems to provide accurate predictions of user ratings. We overcome this problem by using the publicly available user generated information contained in Wikipedia. We identify similarities between items ...
Keywords: collaborative filtering, Wikipedia, recommender systems, cold start problem

11
February 2009 IEEE Transactions on Communications: Volume 57 Issue 2, February 2009
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

Electrical dispersion compensation equalizer is a key and cost-effective element in optical communication on-off-keying systems in the presence of chromatic dispersion. Here, for the first time, to the best of the authors' knowledge, an analytical solution is established for the electrical equalizer coefficients in an optical communication system. The solution ...
Keywords: Wiener, optical fiber communication system, electrical equalizer



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