3,837 research outputs found
A Context-aware Recommender System for Web Service Composition
[[abstract]]This study explored the use of context-aware recommender system to facilitate web service composition. The needs for composition of existing web services to generate functionality for users are increasing. And an intelligent framework is needed to alleviate users' burden to discover, select, invoke and combine web services. In this study, we focus on using context-aware recommender system to provide users with the most appropriate web services composition. The concept of context-aware collaborative filtering is used here to learn and predict user preferences, and based on this information, to compose necessary web services to achieve user request. We provide a restaurant recommender system prototype for the restaurant search scenario to demonstrate how proposed architecture works.[[conferencetype]]國際[[conferencedate]]20120718~20120720[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]Piraeus-Athens, Greec
Current Challenges and Visions in Music Recommender Systems Research
Music recommender systems (MRS) have experienced a boom in recent years,
thanks to the emergence and success of online streaming services, which
nowadays make available almost all music in the world at the user's fingertip.
While today's MRS considerably help users to find interesting music in these
huge catalogs, MRS research is still facing substantial challenges. In
particular when it comes to build, incorporate, and evaluate recommendation
strategies that integrate information beyond simple user--item interactions or
content-based descriptors, but dig deep into the very essence of listener
needs, preferences, and intentions, MRS research becomes a big endeavor and
related publications quite sparse.
The purpose of this trends and survey article is twofold. We first identify
and shed light on what we believe are the most pressing challenges MRS research
is facing, from both academic and industry perspectives. We review the state of
the art towards solving these challenges and discuss its limitations. Second,
we detail possible future directions and visions we contemplate for the further
evolution of the field. The article should therefore serve two purposes: giving
the interested reader an overview of current challenges in MRS research and
providing guidance for young researchers by identifying interesting, yet
under-researched, directions in the field
Illustrating some issues raised when designing context-aware personalized services for mobile users
International audienceWhen travelling people might seek for help or any sorts of information. For example, travelers might need suggestions about accommodation, transportation, activities, food, etc. while they are travelling. Moreover, they expect to get suggestions which are personalized according to some specific criteria such as preferences, age, location, etc. This paper sketches a framework named "Context-Aware Recommender for Mobile Users" that is responsible for providing users with personalized recommendations in order to deliver them the right service to the right user at the right time with the respect of their privacy
Illustrating some issues raised when designing context-aware personalized services for mobile users
International audienceWhen travelling people might seek for help or any sorts of information. For example, travelers might need suggestions about accommodation, transportation, activities, food, etc. while they are travelling. Moreover, they expect to get suggestions which are personalized according to some specific criteria such as preferences, age, location, etc. This paper sketches a framework named "Context-Aware Recommender for Mobile Users" that is responsible for providing users with personalized recommendations in order to deliver them the right service to the right user at the right time with the respect of their privacy
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