This location was chosen for an establishing shot because it is a large open space that makes the audience feel exposed but has a walkway for easy access. Towards the left are alcoves and trees that provided a flat area surrounded by forest for simpler filming while still looking like a forest. The old trees with few leaves made the location seem spooky and it was conveniently close to a crew member's house.
Swapni's thesis belongs to Kno.e.sis' Social Health Signal project. See details of Swapnil's thesis: http://wiki.knoesis.org/index.php/Swapnil_Soni_Thesis
Thesis abstract:
Abstract
With the advent of the web search and microblogging, the percentage of Online Health Information Seekers (OHIS) using these online services to share and seek health real-time information has increased exponentially. When OHIS turn to search engine or microblogging search services to seek out real-time information, the results are not promising. Most of the web search engines and microblogging services are limited to keyword based techniques to retrieve useful information for a given query. Often, the top results are dominated with breaking news. Similarly, in the microblogging and web search engine realm, the results do not contain real-time information. It is extremely difficult for users to retrieve relevant results based on query alone; they may get overwhelmed by the information overload.
In our approach, we have considered Twitter to search documents based on some unique features: triple-pattern based mining, near real-time retrieval, and tweet contained URL based search. First, triple based pattern (subject, predicate, and object) mining technique extracts triple patterns from microblog messages--related with chronic health conditions. The triple pattern is defined in the initial question. Second, in order to make the system near real-time, the search results are divided into intervals of six hours. Third, in addition to tweets, we use URLs’ (mentioned in the tweet) content as the data source. Finally, the results are ranked according to relevance and popularity such that at a particular time the most relevant information for the questions are displayed instead of only temporal relevance. We have conducted a blind survey for evaluating if results are dominated with breaking news. To evaluate this we asked question on diabetes, such as ”How to control diabetes?,” and compared the results with a Twitter search and Google (time-based search). Upon completion of the survey, 50% of users ranked the quality of our results as ”very good,” whereas the results were 10% and 40% for Google and Twitter, respectively.
Committee members: Dr. Amit Sheth (Advisor), Dr. T.K Prasad and Dr. Tanvi Banerjee
Optimagenics™ is devoted to the practice of Age Management Medicine, helping patients to get and stay healthy through a personalized program of nutrition, exercise, hormonal optimization, nutritional supplementation and right mindset.
Swapni's thesis belongs to Kno.e.sis' Social Health Signal project. See details of Swapnil's thesis: http://wiki.knoesis.org/index.php/Swapnil_Soni_Thesis
Thesis abstract:
Abstract
With the advent of the web search and microblogging, the percentage of Online Health Information Seekers (OHIS) using these online services to share and seek health real-time information has increased exponentially. When OHIS turn to search engine or microblogging search services to seek out real-time information, the results are not promising. Most of the web search engines and microblogging services are limited to keyword based techniques to retrieve useful information for a given query. Often, the top results are dominated with breaking news. Similarly, in the microblogging and web search engine realm, the results do not contain real-time information. It is extremely difficult for users to retrieve relevant results based on query alone; they may get overwhelmed by the information overload.
In our approach, we have considered Twitter to search documents based on some unique features: triple-pattern based mining, near real-time retrieval, and tweet contained URL based search. First, triple based pattern (subject, predicate, and object) mining technique extracts triple patterns from microblog messages--related with chronic health conditions. The triple pattern is defined in the initial question. Second, in order to make the system near real-time, the search results are divided into intervals of six hours. Third, in addition to tweets, we use URLs’ (mentioned in the tweet) content as the data source. Finally, the results are ranked according to relevance and popularity such that at a particular time the most relevant information for the questions are displayed instead of only temporal relevance. We have conducted a blind survey for evaluating if results are dominated with breaking news. To evaluate this we asked question on diabetes, such as ”How to control diabetes?,” and compared the results with a Twitter search and Google (time-based search). Upon completion of the survey, 50% of users ranked the quality of our results as ”very good,” whereas the results were 10% and 40% for Google and Twitter, respectively.
Committee members: Dr. Amit Sheth (Advisor), Dr. T.K Prasad and Dr. Tanvi Banerjee
Optimagenics™ is devoted to the practice of Age Management Medicine, helping patients to get and stay healthy through a personalized program of nutrition, exercise, hormonal optimization, nutritional supplementation and right mindset.
1. Recce Shots of Location
This location is an establishing shot. We chose to use this location as it makes the
audience feel exposed, as it is a large open space. We chose this as it has a walkway
already in place so it was easier to access. Towards the left hand side there are alcoves
so we found it simpler to film as we had a flat patch surrounded by trees so it still looked
like we were in the forest. The trees were old and had hardly any leaves. This made the
location seem spookier as it didn’t look like freshly grown summer trees. This location
was also very suitable and convenient as it was close by to one of our houses. This
meant that we did not have to walk far or get the bus in the costumes and makeup to get
to the location.
