by nexgentech | Oct 25, 2017 | ieee project
PERSONAL WEB REVISITATION BY CONTEXT ANDCONTENT KEYWORDS WITH RELEVANCE FEEDBACK ABSTRACT Getting back to previously viewed web pages is a common yet uneasy task for users due to the large volume of personallyaccessed information on the web. This paper leverages...
by nexgentech | Oct 25, 2017 | ieee project
MICROSCOPIC AND MACROSCOPIC SPATIO-TEMPORAL TOPIC MODELS FOR CHECK-IN DATA ABSTRACT Twitter, together with other online social networks, such as Facebook, and Gowalla have begun to collect hundreds ofmillions of check-ins. Check-in data captures the spatial and...
by nexgentech | Oct 25, 2017 | ieee project
INFLUENCE MAXIMIZATION IN TRAJECTORY DATABASES ABSTRACT In this paper, we study a novel problem of influence maximization in trajectory databases that is very useful in preciselocation-aware advertising. It finds k best trajectories to be attached with a given...
by nexgentech | Oct 25, 2017 | ieee project
MANAGING TEMPORAL CONSTRAINTSWITH PREFERENCES: REPRESENTATION, REASONING, AND QUERYING ABSTRACT Representing and managing temporal knowledge, in the form of temporal constraints, is a crucial task in many areas, includingknowledge representation, planning, and...
by nexgentech | Oct 25, 2017 | ieee project
GENERATING QUERY FACETS USING KNOWLEDGE BASES ABSTRACT A query facet is a significant list of information nuggets that explains an underlying aspect of a query. Existing algorithmsmine facets of a query by extracting frequent lists contained in top search results....
by nexgentech | Oct 25, 2017 | ieee project
L-INJECTION: TOWARD EFFECTIVE COLLABORATIVFILTERING USING UNINTERESTING ITEMS ABSTRACT We develop a novel framework, named as l-injection, to address the sparsity problem of recommender systems. Bycarefully injecting low values to a selected set of unrated user-item...
