31 Slices
Medium 9781601323231

Keyword Searches with Customized Preferences

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Information and Knowledge Engineering | IKE'14 |

69

Keyword Searches with Customized Preferences

Yu-Chin Liu, Yi-Hsuan Chiang and Yu-Lien Hsieh

Abstract—In accordance with the great business opportunities emerging through SNSs, entrepreneurs strive to explore the potential benefits by analyzing data collected from

SNSs. For example, Google+ attempts to integrate keyword searches with the individual’s social network. In this paper, we propose a new method for considering the common preferences of friends on social networks while ranking the order of related web pages returned from search engines. The simulation shows the proposed method performing well comparing to general search engines.

I. INTRODUCTION

I

NFORMATION searching has become as one of the most important tasks for on-line information retrieval. At present, there are three main methods of information searching on the

Internet: searching by web pages, by directories, and by keywords. For users, tools supporting timely searching are in great demands.

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Medium 9781601323231

Session - Modeling, Spatial and Semantic Data Models + Applications

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF
Medium 9781601323231

Session - Information and Knowledge Engineering and Management + Feature Extraction and AI

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF
Medium 9781601323231

Segment, Synthesize and Repeat: CARP Paradigm for Consumption of Digital Content

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

100

Int'l Conf. Information and Knowledge Engineering | IKE'14 |

Segment, Synthesize and Repeat: CARP Paradigm for

Consumption of Digital Content

A. Indu Anand* and B. Anurag Wakhlu**

*Sushila Publications, P.O.Box 455, Chelmsford, Masachusetts, 01824 USA

**Coloci Inc., Chelmsford, Masachusetts, 01824 USA

Abstract. CARP (“Computer-Aided

Reading and Perusal”) is a method of collecting and aggregating intelligent crowd-sourced information or data from a document or audio/video data file, which may be used to dynamically generate relevant mark-ups for documents or other consumable data files. The marked-up version of a document or data file can be displayed on demand, and may be used for purposes such as, inter alia, to enhance efficiency, comprehension and experience of reading, listening or viewing. Combined with any input technology that permits quick scanning and suitable pre-processing, CARP can use its crowd–sourced utilities to refine the highlighting and generate customized, marked up versions of the target data file for a user.

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Medium 9781601323231

Session - Knowledge and Information Visualization + Imaging Science and Applications

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

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