OBJECTIVE To obtain practical experience with venlafaxine for hot flushes in breast cancer patients and incorporate this in a treatment protocol. METHOD Twenty-two women with a history of breast cancer (mean age 49.2 years, range 35-65) were referred for consideration of treatment with venlafaxine for hot flushes. Patients received extensive information on treatment with venlafaxine and were ...

OBJECTIVES To determine the effect of acupuncture in treating hot flushes in perimenopausal or postmenopausal women. METHODS The study was a randomised single-blind sham-controlled clinical trial. Perimenopausal or postmenopausal women with moderate or severe hot flushes were randomised to receive real or sham acupuncture. Both groups underwent a 4-week run-in period before the treatment. The...

This chapter shows how a system can recommend to a group of users by aggregating information from individual user models and modelling the users affective state. It summarizes results from previous research in this area. It also shows how group recommendation techniques can be applied when recommending to individuals, in particular for solving the cold-start problem and dealing with multiple cr...

We perform a study on cold-start news popularity prediction using a collection of 13,319 news articles obtained from Yahoo News. We characterise the online popularity of news articles by two different metrics and try to predict them using machine learning techniques. Contrary to a prior work on the same topic, our findings indicate that predicting the news popularity at cold start is a difficul...

In this paper we offer a potential solution to the cold-start problem in group recommender systems. To do so, we use information about previous group recommendation events and copy ratings from a user who played a similar role in some previous group event. We show that copying in this way, i.e. conditioned on groups, is superior to copying nothing and also superior to copying ratings from the m...

In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science research and practice. The panel discussed the pros and cons for top-notch data scientists of the hot data science start-up scene. In this article, we first present background on our panelists. Our four pan...

The Spherical Tokamak (ST) is the low aspect ratio limit of the conventional tokamak, and appears to offer attractive physics properties in a simpler device. The START (Small Tight Aspect Ratio Tokamak) experiment provided the world’s first demonstration of the properties of hot plasmas in an ST configuration, and was operational at Culham from January 1991 to March 1998, obtaining plasma curre...

Multimedia annotation is central to its organization and retrieval – a task which tag recommendation systems attempt to simplify. We propose a photo tag recommendation system which automatically extracts semantics from visual and meta-data features to complement existing tags. Compared to standard content/tag-based models, these automatic tags provide a richer description of the image and espec...

This paper describes the participation of our MCAT search system in the NTCIR-12 MathIR Task. We introduce three granularity levels of textual information, new approach for generating dependency graph of math expressions, score normalization, cold-start weights, and unification. We find that these modules, except the cold-start weights, have a very good impact on the search performance of our s...