Is That Twitter Hashtag Worth Reading

Online social media such as Twitter, Facebook, Wikis and Linkedin have made a great impact on the way we consume information in our day to day life. Now it has become increasingly important that we come across appropriate content from the social media to avoid information explosion. In case of Twitter, popular information can be tracked using hashtags. Studying the characteristics of tweets containing hashtags becomes important for a number of tasks, such as breaking news detection, personalized message recommendation, friends recommendation, and sentiment analysis among others. In this paper, we have analyzed Twitter data based on trending hashtags, which is widely used nowadays. We have used event based hashtags to know users' thoughts on those events and to decide whether the rest of the users might find it interesting or not. We have used topic modeling, which reveals the hidden thematic structure of the documents (tweets in this case) in addition to sentiment analysis in exploring and summarizing the content of the documents. A technique to find the interestingness of event based twitter hashtag and the associated sentiment has been proposed. The proposed technique helps twitter follower to read, relevant and interesting hashtag.Comment: 10 pages, 6 figures, Presented at the Third International Symposium on Women in Computing and Informatics (WCI-2015

The Distant Horizon: investigating the relationship between social sciences academic research and game development

Research in the social sciences devotes a great amount of attention to investigating the impact of video games on the individual and on society. However, results generated by this research often fail to inform game development. The present study investigated the outreach of research conducted by the academic community by interviewing 30 game developers and 14 researchers, highlighting critical aspects in the relationship between game research and game industry. Specifically, we found that the difference in priorities, speed cycles, and dissemination practices between these two contexts hinder communication. Subsequently, we carried out a focus group for a set of developers and researchers (N=6) with the aim of eliciting recommendation for improving communication between academics and developers. Among the recommendations to emerge were calls to diversify dissemination channels, promote joint conferences and develop research-production partnerships. It was felt such measures could strengthen the influence of research results outside the academic community

Recommendation, collaboration and social search

This chapter considers the social component of interactive information retrieval: what is the role of other people in searching and browsing? For simplicity we begin by considering situations without computers. After all, you can interactively retrieve information without a computer; you just have to interact with someone or something else. Such an analysis can then help us think about the new forms of collaborative interactions that extend our conceptions of information search, made possible by the growth of networked ubiquitous computing technology. Information searching and browsing have often been conceptualized as a solitary activity, however they always have a social component. We may talk about 'the' searcher or 'the' user of a database or information resource. Our focus may be on individual uses and our research may look at individual users. Our experiments may be designed to observe the behaviors of individual subjects. Our models and theories derived from our empirical analyses may focus substantially or exclusively on an individual's evolving goals, thoughts, beliefs, emotions and actions. Nevertheless there are always social aspects of information seeking and use present, both implicitly and explicitly. We start by summarizing some of the history of information access with an emphasis on social and collaborative interactions. Then we look at the nature of recommendations, social search and interfaces to support collaboration between information seekers. Following this we consider how the design of interactive information systems is influenced by their social elements

Hierarchical Attention Network for Visually-aware Food Recommendation

Food recommender systems play an important role in assisting users to identify the desired food to eat. Deciding what food to eat is a complex and multi-faceted process, which is influenced by many factors such as the ingredients, appearance of the recipe, the user's personal preference on food, and various contexts like what had been eaten in the past meals. In this work, we formulate the food recommendation problem as predicting user preference on recipes based on three key factors that determine a user's choice on food, namely, 1) the user's (and other users') history; 2) the ingredients of a recipe; and 3) the descriptive image of a recipe. To address this challenging problem, we develop a dedicated neural network based solution Hierarchical Attention based Food Recommendation (HAFR) which is capable of: 1) capturing the collaborative filtering effect like what similar users tend to eat; 2) inferring a user's preference at the ingredient level; and 3) learning user preference from the recipe's visual images. To evaluate our proposed method, we construct a large-scale dataset consisting of millions of ratings from AllRecipes.com. Extensive experiments show that our method outperforms several competing recommender solutions like Factorization Machine and Visual Bayesian Personalized Ranking with an average improvement of 12%, offering promising results in predicting user preference for food. Codes and dataset will be released upon acceptance

Importance of Cultural Intelligence: cross-cultural examination and analysis

Globalization requires collaboration, partnerships, alliances, trade agreements, and business conduct across both borders and cultures. Growth in international business necessitates corporations and employees to be culturally intelligent. Cultural intelligence has proved to be an instrumental skill that will be a major determinant in the success of cross-cultural collaborations. We examine cross-cultural situations of financial and social problems caused by a lack of cultural intelligence and compare them to situations of effective collaborations. We conclude with practical suggestions and five recommendations that can help improve cultural intelligence levels

Internationalisation strategies of African MNEs: a case analysis of Angolan and Mozambican enterprises

This study investigates the internationalisation strategies of Lusophone Africa multinational enterprises (LAMNEs) from Angola and Mozambique. While previous scholarship examining the investment decisions and actual investment commitments found that MNEs make choices to internationalise incrementally to reduce uncertainty, this research expands this body of scholarship by identifying Angolan and Mozambican MNEs that were born global or created to become international new ventures (INVs). Key implications of this study suggests that despite several disadvantages faced by entrepreneurs in frontier economies, particularly in Angola and Mozambique LAMNEs relied on external resources to launch themselves into international markets, utilising web-enabled digital and virtual resources, such as the Internet, social media and online professional communities of practice. In addition, most did not enter foreign markets alone and chose to rely on modes of entry that included joint ventures and partnerships, mergers and acquisitions (M&A), e-commerce, and e-business.https://doi.org/10.1504/IJEXPORTM.2019.101809Accepted manuscriptPublished versio