000 Informatik, Wissen, Systeme
Filtern
Dokumenttyp
Sprache
- Englisch (8) (entfernen)
Volltext vorhanden
- nein (8)
Gehört zur Bibliographie
- ja (8)
Schlagworte
- Information Retrieval (8) (entfernen)
Current search engines are used for retrieving relevant documents from the huge amount of data available and have become an essential tool for the majority of Web users. Standard search engines do not consider semantic information that can help in recognizing the relevance of a document with respect to the meaning of a query. In this paper, we present our system architecture and a first user study, where we show that the use of semantics can help users in finding relevant information, filtering it ad facilitating quicker access to data.
The SPIM workshop focuses especially on people that are working on the social or semantic Web, machine learning, user modeling, recommender systems, information retrieval, semantic interaction, or their combination. The goal is to bring together researchers and practitioners to initiating discussions on the different requirements and challenges coming with the social and semantic Web for personalized information retrieval systems. The workshop aims at improving the exchange of ideas between the different research communities and practitioners involved in the research on semantic personalized information management.
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. The current main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user's current situation and interests. Ubiquitous computing further provides new means for capturing user feedback on items and providing information.
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. The current main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user’s current situation and interests. Ubiquitous computing further provides new means for capturing user feedback on items and providing information.
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. The current main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user's current situation and interests.
The workshop on Context-awareness in Retrieval and Recommendation is a forum for research on context-awareness in information retrieval, recommender systems and human computer interaction. The fourth iteration of the workshop was organized in conjunction to the 36th European Conference on Information Retrieval in Amsterdam, The Netherlands.
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. A primary challenge is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user’s current situation and interests. Ubiquitous computing provides new means for capturing user feedback on items and offers information. This year we are particularly interested in contributions investigating how context can influence decision making in contexts such as health, finance, food, education etc. and how systems can exploit context to assert positive behavioral change.
SemRes
(2016)
Documentation is very time consuming; conservators have to categorize photos, give detailed description of the procedures and justify decisions about materials. Every conservator delivers his/her own documentation to the respective monument administrations that archive it in their shelves, without any possibility to access them digitally. In this case, the access to already conducted procedures, as well as the provision of the knowledge about the methods and materials used are very difficult often almost impossible. The SemRes System provides conservators with semantic technologies in order to better structure and retrieve their knowledge and supports them in decision-making for conservation and conservation procedures.