Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction

User response prediction, which models the user preference w.r.t. the presented items, plays a key role in online services. With two-decade rapid development, nowadays the cumulated user behavior sequences on mature Internet service platforms have become extremely long since the user's first registration. Each user not only has intrinsic tastes, but also keeps changing her personal interests during lifetime. Hence, it is challenging to handle such lifelong sequential modeling for each individual user. Existing methodologies for sequential modeling are only capable of dealing with relatively recent user behaviors, which leaves huge space for modeling long-term especially lifelong sequential patterns to facilitate user modeling. Moreover, one user's behavior may be accounted for various previous behaviors within her whole online activity history, i.e., long-term dependency with multi-scale sequential patterns. In order to tackle these challenges, in this paper, we propose a Hierarchical Periodic Memory Network for lifelong sequential modeling with personalized memorization of sequential patterns for each user. The model also adopts a hierarchical and periodical updating mechanism to capture multi-scale sequential patterns of user interests while supporting the evolving user behavior logs. The experimental results over three large-scale real-world datasets have demonstrated the advantages of our proposed model with significant improvement in user response prediction performance against the state-of-the-arts.Comment: SIGIR 2019. Reproducible codes and datasets: https://github.com/alimamarankgroup/HPM

An International Prospectus for Library & Information Professionals: Development, Leadership and Resources for Evolving Patron Needs

The roles of library and information professionals must change and evolve to: 1. accommodate needs of tech-savvy patrons; 2. thrive in the Commons & Library 2.0; 3. provide integrated, just-in-time services; 4. constantly update and enhance technology; 5. design appropriate library spaces for research and productivity; 6.adapt to new models of scholarly communication and publication, especially: the Open Archives Initiative and digital repositories; 7. remain abreast of national and interanational academic and legislative initiatives affecting the provision of information services and resources. Professionals will need to collaborate in: 1. Formal & informal networks – regional, national, and international; and; 2. Library staff development initiatives – regional, national, international Professionals will need to use libraries as laboratories for ongoing, lifelong training and education of patrons and of all library staff ( internal patrons ): the library is the framework in which Information Research Literacy is the curriculum . Professionals will need to remain aware of trends and challenges in their regions, the EU, the US and North America, of models which might provide inspiration and support: 1. Top Technology Trends; 2. New paradigms of professionalism; 3. Knowledge-creation and knowledge consumption; 4. The shifting balance of the physical library with the virtual-digital librar

A Questioning Agent for Literary Discussion

Developing a compelling and cohesive thesis for analytical writing can be a daunting task, even for those who have produced many written works, and finding others to engage with in literary discussion can be equally challenging. In this paper, we describe our solution: Questioner, a discussion tool that engages users in conversation about an academic topic of their choosing for the purpose of collecting thoughts on a subject and constructing an argument. This system will ask informed questions that prompt further discussion about the topic and provide a discussion report after the conversation has ended. We found that our system is effective in providing users with unique questions and excerpts that are relevant, significant, and engaging. Such a discussion tool can be used by writers building theses, students looking for study tools, and instructors who want to create individualized in-class discussions. Once more data is gathered, efficient and accurate machine learning models can be used to further improve the quality of question and excerpt recommendations. Co-creative discussion tools like Questioner are useful in assisting users in developing critical analyses of written works, helping to maximize human creativity

Informatics Research Institute (IRIS) September 2008 newsletter

2007-8 was a very busy year for IRIS. It was a bumper year for visiting Profs with Prof Michael Myers visiting from New Zealand, Prof Brian Fitzgerald visiting from University of Limerick, Ireland, Prof. Uzay Kaymak visiting from Erasmus University Netherlands and Prof Steve Sawyer visiting from Pennsylvania State University, USA. Their visits enriched our doctoral school, seminar programme workshops and our research. We were very lucky to have such a distinguished line up of visiting professors and we offer them hearty thanks and hope to keep ongoing research links with them

Introducing TU100 ‘My Digital Life’: Ubiquitous computing in a distance learning environment

In this paper we describe the Open University’s progress towards delivering an introduction to ubiquitous computing within a distance-learning environment. Our work is strongly influenced by the philosophy of learning-through-play and we have taken technologies originally designed for children’s education and adapted them for adult learners, many of whom will have no formal experience of computer science or information technology. We will introduce two novel technologies; Sense, a drag-and-drop programming language based on Scratch; and the SenseBoard, an inexpensive hardware device that can be connected to the student’s computer, through which they can sense their environment and display outputs. This paper is not intended as a detailed discussion of individual technologies (they will follow in time), rather it should serve as an introduction to the Open University’s method of teaching and how we hope to continue to recruit new computer scientists and engineers using novel technologies