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mismatch problem and match irrelevance problem and fail to generate highly related results. To overcome these problems, we propose a novel approach to recommend articles to the researchers. In our approach we integrate three types of similarity measures: keyword similarity, journal similarity, and author similarity to measure
using questionnaire from population sample. Our paper will enrich effort in marketing study. Our experiment use conversation data from Indonesian Twitter user contains specific brand keyword.
Websites that provide content creation and sharing features have become quite popular recently. These sites allow users to categorize and browse content using "tags” or free-text keyword topics. Since users contribute and tag social media content across a variety of social web platforms, creating new
ABSTRACT We present our findings from the Electronic Textile Interface Swatch Book Workshops. The workshops were designed as the first in a series of collaborative design experiences that introduce small groups of faculty/students teams from particular design disciplines to the concept of electronic textile interfaces (ETIs) through the use of a textile interface “swatch book” with the support of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.