Palakorn Achananuparp

Palakorn Achananuparp
Singapore Management University | smu · Living Analytics Research Centre

Doctor of Philosophy

About

74
Publications
30,420
Reads
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1,018
Citations
Introduction
I am currently a senior research scientist at Living Analytics Research Centre (LARC), Singapore Management University where I work in various projects under the Smart Consumption and Healthy Lifestyle application domain.
Additional affiliations
April 2017 - present
Singapore Management University
Position
  • Senior Researcher
May 2011 - March 2017
Singapore Management University
Position
  • Researcher
May 2010 - May 2011
Singapore Management University
Position
  • PostDoc Position
Education
September 2004 - March 2010
Drexel University
Field of study
  • Information Science
August 2002 - August 2004
Carnegie Mellon University
Field of study
  • Information Systems
January 1996 - January 2000
Chulalongkorn University
Field of study
  • Economics

Publications

Publications (74)
Article
Full-text available
Background Artificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care. Objective This study aims to provide an overview of the perceptions and needs of AI to inc...
Preprint
BACKGROUND Artificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care. OBJECTIVE This study aims to provide an overview of the perceptions and needs of AI to inc...
Article
Food retrieval is an important task to perform analysis of food related information, where we are interested in retrieving relevant information about the queried food item such as ingredients, cooking instructions, etc. In this paper, we investigate cross-modal retrieval between food images and cooking recipes. The goal is to learn an embedding of...
Preprint
Full-text available
We present an invert-and-edit framework to automatically transform facial weight of an input face image to look thinner or heavier by leveraging semantic facial attributes encoded in the latent space of Generative Adversarial Networks (GANs). Using a pre-trained StyleGAN as the underlying generator, we first employ an optimization-based embedding m...
Preprint
Recent research has identified a few design flaws in popular mobile health (mHealth) applications for promoting healthy eating lifestyle, such as mobile food journals. These include tediousness of manual food logging, inadequate food database coverage, and a lack of healthy dietary goal setting. To address these issues, we present Foodbot, a chatbo...
Preprint
Cross-modal food retrieval is an important task to perform analysis of food-related information, such as food images and cooking recipes. The goal is to learn an embedding of images and recipes in a common feature space, so that precise matching can be realized. Compared with existing cross-modal retrieval approaches, two major challenges in this s...
Preprint
Full-text available
Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT, a novel online recipe generation and evaluation system. The system provides two modes of text generations: (1) instruction generation from given recipe title and ingred...
Conference Paper
Human beings are creatures of habit. In their daily life, people tend to repeatedly consume similar types of food items over several days and occasionally switch to consuming different types of items when the consumptions become overly monotonous. However, the novel and repeat consumption behaviors have not been studied in food recommendation resea...
Conference Paper
Consumption of diets with low glycemic impact is highly recommended for diabetics and pre-diabetics as it helps maintain their blood glucose levels. However, laboratory analysis of dietary glycemic potency is time-consuming and expensive. In this paper, we explore a data-driven approach utilizing online crowdsourcing and machine learning to estimat...
Preprint
Full-text available
Human beings are creatures of habit. In their daily life, people tend to repeatedly consume similar types of food items over several days and occasionally switch to consuming different types of items when the consumptions become overly monotonous. However, the novel and repeat consumption behaviors have not been studied in food recommendation resea...
Preprint
Full-text available
Consumption of diets with low glycemic impact is highly recommended for diabetics and pre-diabetics as it helps maintain their blood glucose levels. However, laboratory analysis of dietary glycemic potency is time-consuming and expensive. In this paper, we explore a data-driven approach utilizing online crowdsourcing and machine learning to estimat...
Conference Paper
Full-text available
An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, food logging can help fitness enthusiasts, and people who wanting to achieve a target weight. However, food-logging is cumbersome, and requires not o...
Data
This dataset contains a rich set of data consisting of daily food logging, self-report subjective well-being evaluation, and demographic information of 245 Healthy365, MyFitnessPal, and Fitbit users over 30-day period. The data were collected during the randomized controlled trial called Eat & Tell conducted in 2017. If you use this dataset in a sc...
Preprint
Full-text available
An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, food logging can help fitness enthusiasts, and people who wanting to achieve a target weight. However, food-logging is cumbersome, and requires not o...
Preprint
Full-text available
A growing body of evidence has shown that incorporating behavioral economics principles into the design of financial incentive programs helps improve their cost-effectiveness, promote individuals' short-term engagement, and increase compliance in health behavior interventions. Yet, their effects on long-term engagement have not been fully examined....
Preprint
Full-text available
Past research has shown the benefits of food journaling in promoting mindful eating and healthier food choices. However, the links between journaling and healthy eating have not been thoroughly examined. Beyond caloric restriction, do journalers consistently and sufficiently consume healthful diets? How different are their eating habits compared to...
Conference Paper
Full-text available
A growing body of evidence has shown that incorporating behavioral economics principles into the design of financial incentive programs helps improve their cost-effectiveness, promote individuals' short-term engagement, and increase compliance in health behavior interventions. Yet, their effects on long-term engagement have not been fully examined....
Data
This dataset contains 1.9 million meals logged by 9.8K MyFitnessPal users on 71K food items from September 2014 through April 2015. Food items with similar textual description have been grouped together. The dataset consists of data and item files. Their formats are described below. data.tsv: Each line is a tab separated list of meal_id, user_id...
Conference Paper
Full-text available
In this paper, we explore the problem of identifying substitute relationship between food pairs from real-world food consumption data as the first step towards the healthier food recommendation. Our method is inspired by the distributional hypothesis in linguistics. Specifically, we assume that foods that are consumed in similar contexts are more l...
Conference Paper
Full-text available
Authority users often play important roles in a social system. They are expected to write good reviews at product review sites; provide high quality answers in question answering systems; and share interesting content in social networks. In the context of marketing and advertising, knowing how users react to emails and messages from authority sende...
Conference Paper
Full-text available
To support people trying to lose weight and stay healthy, more and more fitness apps have sprung up including the ability to track both calories intake and expenditure. Users of such apps are part of a wider " quantified self " movement and many opt-in to publicly share their logged data. In this paper, we use public food diaries of more than 4,000...
Conference Paper
Full-text available
Geotagged social media is becoming highly popular as social media access is now made very easy through a wide range of mobile apps which automatically detect and augment social media posts with geo-locations. In this paper, we analyze two kinds of location-based patterns. The first is the association between location attributes and the locations of...
Data
Each entry contains 3 values separated by tab: Main category, subcategory, and food entity name
Data
This dataset contains 587,187 days of food diary records logged by 9.9K MyFitnessPal users from September 2014 through April 2015. Each line is a tab-separated list of: - Anonymized user ID - Diary date - List of food entries and nutrients (as JSON objects) - Daily aggregate of nutrient intake and goal (as JSON objects). If you use the dataset...
Conference Paper
Full-text available
Tracking user browsing data and measuring the effectiveness of website design and web services are important to businesses that want to attract the consumers today who spend much more time online than before. Instead of using randomized controlled experiments, the existing approach simply tracks user browsing behaviors before and after a change is...
Conference Paper
Full-text available
With the widespread adoption of the Web, many companies and organizations have established websites that provide information and support online transactions (e.g., buying products or viewing content). Unfortunately, users have limited attention to spare for interacting with online sites. Hence, it is of utmost importance to design sites that attrac...
Conference Paper
Full-text available
Gaming expertise is usually accumulated through playing or watching many game instances, and identifying critical moments in these game instances called turning points. Turning point rules (shorten as TPRs) are game patterns that almost always lead to some irreversible outcomes. In this paper, we formulate the notion of irreversible outcome propert...
Conference Paper
Full-text available
Unlike standard web search, people search microblog mes-sages to look for temporally relevant information. Due to the recency nature of microblogs and a massive amount of data generated by users of popular services such as Twitter, it is challenging to design and imple-ment a microblog retrieval system that satisfies the searcher and tech-nical req...
Article
Full-text available
Real-time microblogging systems such as Twitter offer users an easy and lightweight means to exchange information. Instead of writing formal and lengthy messages, microbloggers prefer to frequently broadcast several short messages to be read by other users. Only when messages are interesting, are they propagated further by the readers. In this arti...
Conference Paper
Full-text available
In-game actions of real-time strategy (RTS) games are extremely useful in determining the players' strategies, ana-lyzing their behaviors and recommending ways to improve their play skills. Unfortunately, unstructured sequences of in-game actions are hardly informative enough for these analyses. The inconsistency we observed in human annotation of...
Conference Paper
Full-text available
Millions of people, including those in the soft-ware engineering communities have turned to microblogging services, such as Twitter, as a means to quickly disseminate information. A number of past studies by Treude et al., Storey, and Yuan et al. have shown that a wealth of interesting information is stored in these microblogs. However, microblogs...
Conference Paper
Full-text available
Microblogging has recently become a popular means to disseminate information among millions of people. Interest-ingly, software developers also use microblog to communicate with one another. In Twitter, many developers microblog or tweet about bugs, new IDEs, new programming languages, etc. Different from traditional media, microblog users tend to...
Conference Paper
Full-text available
The way Twitter and other microblogging networks work is to have users create follow links among one another, and create short messages to their followers. Most of the time, the creation of follow links to other users does not require approval from the latter. Therefore, it is very easy for a user to create such links. On the other hand, the same c...
Data
1732 event logs of actions performed by players in Starcraft II public replays downloaded from GameReplays.org. The Data Set consists of 1732 log files (Size: 55 MB) compressed into a Zip archive (Size: 9.3 MB).
Conference Paper
Full-text available
Microblogging is a new trend to communicate and to disseminate information. One microblog post could potentially reach millions of users. Millions of microblogs are generated on a daily basis on popular sites such as Twitter. The popularity of microblogging among programmers, software engineers, and software users has also led to their use of micro...
Conference Paper
Full-text available
Twitter is a popular microblogging site where users can easily use mobile phones or desktop machines to generate short messages to be shared with others in realtime. Twitter has seen heavy usage in many recent international events including Japan earthquake, Iran election, etc. In such events, many tweets may become viral for different reasons. In...
Conference Paper
Full-text available
Socialness refers to the ability to elicit social in- teraction and social links among people. It is a concept often associated with individuals. Although there are tangible benefits in socialness, there is little research in its modeling. In this paper, we study socialness as a property that can be associated with items, beyond its traditional ass...
Conference Paper
Full-text available
We present NegativeRank, a novel graph-based sentence ranking model to improve the diversity of focused summary by performing random walks over sentence graph with negative edge weights. Unlike the typical eigenvector centrality ranking, our method models the redundancy among sentence nodes as the negative edges. The negative edges can be thought o...
Conference Paper
Full-text available
We present a novel graph ranking model to extract a diverse set of answers for complex questions via random walks over a negative-edge graph. We assign a negative sign to edge weights in an answer graph to model the redundancy relation among the answer nodes. Negative edges can be thought of as the propagation of negative endorsements or disapprova...
Conference Paper
The World Cancer Report urges nations to act to address the alarming increase in global cancer rates. It is estimated that risk factor reduction and appropriate screening could prevent as many as one third of cancers worldwide. However, while effective education to reduce risk factors and increase screening depends on the management and analysis of...
Conference Paper
Full-text available
We propose a ranking model to diversify answers of non-factoid questions based on an inverse notion of graph connectivity. By representing a collection of candidate answers as a graph, we posit that novelty, a measure of diversity, is inversely proportional to answer vertices' connectivity. Hence, unlike the typical graph ranking models, which scor...
Conference Paper
Full-text available
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and provide rich information about the main themes in published papers. In the data mining and information retrieval community, there are a lot of research works on using text mi...
Conference Paper
Full-text available
We introduce our QA system AskDragon which employs a novel lightweight local context analysis technique to handling two broad classes of factoid questions, entity and numeric questions. The local context analysis module dramatically improves the efficiency of QA systems without sacrificing high accuracy performance.
Conference Paper
Full-text available
In this paper, we present a new approach that incorporates semantic structure of sentences, in a form of verb-argument structure, to measure semantic similarity between sentences. The variability of natural language expression makes it difficult for existing text similarity measures to accurately identify semantically similar sentences since senten...
Conference Paper
Full-text available
Digital reference services normally rely on human experts to provide quality answers to the user requests via online communication tools. As the services gain more popularity, more experts are needed to keep up with a growing demand. Alternatively, automated question answering module can help shorten the question-answering cycle. When the system re...
Article
In this article, we present a graph-based knowledge representation for biomedical digital library literature clustering An efficient clustering method is developed to identify the ontology-enriched k-highest density term subgraphs that capture the core semantic relationship information about each document cluster The distance between each document...
Conference Paper
Full-text available
Document representation is one of the crucial components that determine the effectiveness of text classification tasks. Traditional document representation approaches typically adopt a popular bag-of-word method as the underlying document representation. Although itpsilas a simple and efficient method, the major shortcoming of bag-of-word represent...
Conference Paper
This paper proposes some expanded rough set models with maximal compatible classes as primitive granules, introduces two new granules for extending rough set model, and designs algorithms to solve maximal compatible classes, to find the lower and upper approximations according to the newly granules, to compute reducts and minimal reducts with attri...
Conference Paper
Full-text available
We describe the Image Tagger system - a web-based tool for supporting collaborative image indexing by students. The tool has been used in three successive graduate-level classes on content representation. To fully satisfy the class' requirements and provide support for student indexing activities, it was designed and developed iteratively in accord...
Conference Paper
Full-text available
In this paper, we explore how global ranking method in conjunction with local density method help identify meaningful term clusters from ontology enriched graph representation of biomedical literature corpus. One big problem with document clustering is how to discount the effects of class-unspecific general terms and strengthen the effects of class...
Conference Paper
Full-text available
Large quantities of historical newspapers are being digitized and OCRd. We describe a framework for processing the OCRd text to identify articles and extract metadata for them. We describe the article schema and provide examples of features that facilitate automatic indexing of them. For this processing, we employ lexical semantics, structural mode...
Article
Full-text available
While several digital repository systems are widely adopted as tools for building digital libraries, they are rather complex or required major customization to be used as tools for teaching principles of repository management. As these tools offer a wide range of functionalities to support all kinds of applications, they are too complex to be used...
Conference Paper
Full-text available
Content-based implicit user modeling techniques usually employ traditional term vector as a representation of the user's interest. However, due to the problem of dimensionality in vector space model, a simple term vector is not a sufficient representation of the user model as it ignores the semantic relations between terms. In this paper, we presen...
Conference Paper
Full-text available
We developed a simple Web-based prototype to familiarize students with digital library tools. To assist the students with the indexing task, the prototype provided basic functionalities, including metadata input form, photo search interface. The students generally expressed a positive feedback toward the use of digital library tools in their image...
Conference Paper
Full-text available
Electronic voting is slowly making its way into American politics. At the same time, more voters and potential voters are using online news and political information sources to help them make voting choices. We conducted a mock-voting study, using real candidates, issues, and campaign materials. Political information was browsed either online or on...
Article
Introduction In order to help people cope with the voluminous amount of information in an online environment, such as the World Wide Web, recent researches in HCI have focused on creating the intelligent systems capable of adapting to the users' information needs. One of the major intelligent systems research areas is a recommender systems research...
Article
We developed a simple web-based prototype to familiarize students with digital library tools and introduced it to the students in a graduate-level class on Content Representation at Drexel University, Philadelphia. Twelve graduate students were divided into three groups. Each student had to index three sets of five photographs using a browser-based...
Article
Full-text available
Personalization is a process by which the users are presented with web resources customized to their interests. Critical to the personalization process is the user model which is the system’s representation of the user characteristics and preferences. However, current web personalization systems traditionally use keywords extracted from contents of...