Title :
Using Twitter data to improve news results on search engine
Author :
Santoso, Abraham Krisnanda ; Saptawati, Gusti Ayu Putri
Author_Institution :
Inf. / Comput. Sci., Inst. Teknol. Bandung, Bandung, Indonesia
Abstract :
Web search results often consist of web results and news results. News results are displayed based on measurement of click-through Rate (CTR), a comparison between clicks and views of content. In other words, the more clicks obtained by content, the probability of that content appear, as news results will be higher. The CTR measurement is not effective for recent news due to recent news only have few clicks. On the other hand, a micro-blogging platform Twitter has short, real-time, wide coverage of news. In this paper, we use Twitter data to improve news results, so the recent news can have higher probability to appear on news results.
Keywords :
Internet; electronic publishing; search engines; social networking (online); CTR measurement; Twitter data; Web search results; click-through Rate; microblogging platform Twitter; news results; search engine; Crawlers; Measurement; Real-time systems; Search engines; Twitter; CTR; Twitter; clicks; news results; recent news;
Conference_Titel :
Data and Software Engineering (ICODSE), 2014 International Conference on
Print_ISBN :
978-1-4799-8175-5
DOI :
10.1109/ICODSE.2014.7062679
