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Found 5 papers, 0 papers with code
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity
We propose a hierarchical re-estimation approach for topic models to combat generality and impurity; the proposed approach operates at three levels: words, topics, and documents.
Topical Generalization for Presentation of User Profiles
With this work, we have taken a first step toward a semantic layout mode for topical user profiles.
Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations
This paper investigates how, when we cannot rely on the user history, the large scale availability of other user interactions still allows us to build meaningful profiles from the contextual data and whether such contextual profiles are useful to customize the ranking, exemplified by data from a major online travel agentBooking. com. Our main findings are threefold: First, we characterize the Continuous Cold Start Problem(CoCoS) from the viewpoint of typical e-commerce applications.
The Impact of Technical Domain Expertise on Search Behavior and Task Outcome
The main aim of this paper is to investigate the impact of high levels of technical domain expertise on both search behavior and task outcome.
LocLinkVis: A Geographic Information Retrieval-Based System for Large-Scale Exploratory Search
In this paper we present LocLinkVis (Locate-Link-Visualize); a system which supports exploratory information access to a document collection based on geo-referencing and visualization.
