Access Restriction

Author Epstein, Susan L. ♦ Osisek, Eric ♦ Hixon, Ben ♦ Passonneau, Rebecca J.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Plausible Recommendation ♦ Relevant Response ♦ Person Require Thoughtful Decision ♦ System Recommendation ♦ Strong Indicator ♦ Set-based Similarity ♦ User Behavior ♦ Empirical Result ♦ Acceptable Choice ♦ Text Description ♦ Item User ♦ Known Item ♦ Pairwise Similarity ♦ Useful Diversity
Abstract Recommendations from a system to a person require thoughtful decisions. People prefer quick, relevant responses, ones that quickly lead to an acceptable choice. A system’s recommendations, however, often rely on pairwise similarity between items or between users, based on a distance metric. This paper advocates a broader, set-based similarity based on text descriptions of known items, and on the items users have found appealing in the past. The text, autonomously gathered from the Web, proves to be a strong indicator of similarities among sets of items, as well as a source of useful diversity. Empirical results provide insight into the complexities of similarity, of user behavior, and of cognition in the system that formulates recommendations. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article