Recommender systems have evolved in the last years as specialized tools to assist users in a plethora of computer-mediated tasks by providing guidelines or hints. Most recommender systems are aimed at facilitating access to relevant items, a situation particularly common when performing web-based tasks. At the same time, defeasible argumentation has evolved as a successful approach in AI to mod...

More and more competitive websites are targeting online job seeking and recruiting. In this paper, we discuss user pattern in an online job seeking website in Switzerland, by analyzing user profiles and actions. Then based on our findings, we derive design guidelines to improve both the interface usability and the efficiency of the embedded jobs/candidates recommender system. Keywords-patterns;...

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Many clients like to use the Web to discover product details in the form of online reviews. These reviews are given by other clients and specialists. User-given reviews are becoming more prevalent. Recommender systems provide an important response to the information overload problem as it presents users more practical and personalized information services. Collaborative filtering techniques pla...

In service-oriented computing, a recommender system can be wrapped as a web service with machine-readable interface. However, owing to the cross-organizational privacy issue, the internal dataset of an organization is seldom exposed to external services. In this paper, we propose a higher level recommender strategy INSERT that guides the underlying external universal recommender to suggest a se...

In this paper we describe an approach to design an adaptive system as a Semantic Web Service. We focus on how adaptive systems can provide adaptive services through web service technologies. In particular, we concentrate on adding semantic information to enrich the service discovery phase. We present a recommender system, UbiquiTO-S, which exploits the technology of Web Services (WS) and Semant...

Tagging activity has been recently identified as a potential source of knowledge about personal interests, preferences, goals, and other attributes known from user models. Tags themselves can be therefore used for finding personalized recommendations of items. In this paper, we present a tag-based recommender system which suggests similar Web pages based on the similarity of their tags from a W...

The current challenges in the world are search and retrieve accurate information from the massive web. The general term used for searching and retrieving data from the web is 'query' and keyword-matching. The existing structure uses Personalized user information system, recommender system and wordnet ontology. The Personalized user information system used to increase the speed and req...

In the last years, the Web community has shown a broad interest in Web services that handle multimedia contents. To improve the usability of these services different tools have been proposed in the literature, and in this context agent-based recommender systems appear to be a promising solution. However, the recommender systems presented in the past do not take into account, in their recommenda...

Web amenities are integrated software components for the support of interoperable machine to machine interaction over a network. Some previous problems are 1) earlier approaches are not succeed to consider the QoS variation according to users locations; and 2) earlier recommender systems are all black boxes it just takes input from user and provide different amenities that provide incomplete or...