3.6 KiB
- Mdnotes File Name: felfernigOverviewRecommenderSystems2019
Yellow Annotations (17/12/2020, 17:05:17)
"any system that guides a user in a personalized way to interesting or useful objects in a large space of possible options or that produces such objects as output" (Felfernig et al 2019:285)
"collaborative filtering and content-based filtering. Collaborative Filtering (Konstan et al. 1997) is using the opinio" (Felfernig et al 2019:286)
"IoT workflow development" (Felfernig et al 2019:286)
"ecommendation of app" (Felfernig et al 2019:286)
"domain-specific scenarios such as food recommendation (" (Felfernig et al 2019:286)
"recommender engine can be included to assist users in the configuration of the gateway" (Felfernig et al 2019:287)
"in recommending useful applications based on given gateway settings and user interaction protocols." (Felfernig et al 2019:287)
"In the context of wildlife animal monitoring, measuring devices and data collection units (typically drones) have to be selected and parametrized in such a way that the observation area is completely covered" (Felfernig et al 2019:287)
"In the context of smart homes, recommendation technologies improve the overall applicability of the installed equipment and can also help to optimize the usage of the available resources (e.g., minimizing power consumption)." (Felfernig et al 2019:287)
"recommender systems can help the spectators to determine the current geographical location of certain athletes. This further results in recommended sites at which the athlete can be seen and cheered." (Felfernig et al 2019:287)
"how recommenders can be applied in IoT scenarios and to propose new recommendation approaches for the IoT domain." (Felfernig et al 2019:288)
"existing applications of recommendation technologies in the IoT." (Felfernig et al 2019:288)
"IoT infrastructure, a recommender system does not have to only rely on the preferences of the user but can take into account further information sources." (Felfernig et al 2019:288)
"Alex needs to receive some app, device or communication protocol (BLE, zigbee, etc.) recommendations according to the overall settings on the gateway." (Felfernig et al 2019:289)
"support for choosing the sensors and configuring the system properly." (Felfernig et al 2019:289)
"SEQREQ: Sequences based recommendation" (Felfernig et al 2019:295)
"SEQREQ (Sequences based Recommendation) which recommends items based on sequential pattern mini" (Felfernig et al 2019:295)
"CONFREQ: Recommendations for configurators" (Felfernig et al 2019:297)
"DIAGREQ: recommending diagnoses" (Felfernig et al 2019:300)