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Improving Contextual Suggestions using Open Web Domain Knowledge
2015
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Contextual suggestion aims at recommending items to users given their current context, such as location-based tourist recommendations. Our contextual suggestion ranking model consists of two main components: selecting candidate suggestions and providing a ranked list of personalized suggestions. We focus on selecting appropriate suggestions from the ClueWeb12 collection using tourist domain knowledge inferred from social sites and resources available on the public Web (Open Web). Specifically,
dblp:conf/sigir/SamarBV15
fatcat:2umze4uprffrrj62hzgzlo75fa