Accession Number:

ADA576857

Title:

An Exploration of Ranking-based Strategy for Contextual Suggestion

Descriptive Note:

Conference paper

Corporate Author:

DELAWARE UNIV NEWARK DEPT OF ELECTRICAL AND COMPUTER ENGINEERING

Personal Author(s):

Report Date:

2012-11-01

Pagination or Media Count:

5.0

Abstract:

We describe our efforts in TREC 2012 Contextual Suggestion Track. The task is to provide sug- gestions to users based on their personal interests as well as their contexts. To tackle the problem, we propose to rank candidate suggestions based on their similarity to the personal profile and that to the contexts i.e. geographic and temporal information. The ranking function is computed based on the similarity between a suggestion and the places that the user like and the dis-similarity between the suggestion and the places disliked by the user. The similarities are computed based on the either the category or description of the suggestions.

Subject Categories:

  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE