Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …

Ranking models lie at the heart of research on information retrieval (IR). During the past
decades, different techniques have been proposed for constructing ranking models, from …

Geographical location is vital to geospatial applications like local search and event
detection. In this paper, we investigate and improve on the task of text-based geolocation …

Information seeking is a fundamental human activity. In the modern world, it is frequently
conducted through interactions with search systems. The retrieval and comprehension of …

User behavior provides many cues to improve the relevance of search results through
personalization. One aspect of user behavior that provides especially strong signals for …

Query auto-completion (QAC) is one of the most prominent features of modern search
engines. The list of query candidates is generated according to the prefix entered by the …

To cope with the immense amount of content on the web, search engines often use complex
algorithms to personalize search results for individual users. However, personalization of …

Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual
users and user groups by taking account of additional information about users besides their …

Personalized search systems tailor search results to the current user intent using historic
search interactions. This relies on being able to find pertinent information in that user's …

Knowing users' views and demographic traits offers a great potential for personalizing web
search results or related services such as query suggestion and query completion. Such …