Information Retrieval Technology: 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 – December 2, 2016, Proceedings

Front Matter....Pages I-XIII
Front Matter....Pages 1-1
Modeling Relevance as a Function of Retrieval Rank....Pages 3-15
The Effect of Score Standardisation on Topic Set Size Design....Pages 16-28
Incorporating Semantic Knowledge into Latent Matching Model in Search....Pages 29-41
Keyqueries for Clustering and Labeling....Pages 42-55
A Comparative Study of Answer-Contained Snippets and Traditional Snippets....Pages 56-67
Local Community Detection via Edge Weighting....Pages 68-80
Front Matter....Pages 81-81
Learning a Semantic Space of Web Search via Session Data....Pages 83-97
TLINE: Scalable Transductive Network Embedding....Pages 98-110
Detecting Synonymous Predicates from Online Encyclopedia with Rich Features....Pages 111-122
Front Matter....Pages 123-123
Patent Retrieval Based on Multiple Information Resources....Pages 125-137
Simulating Ideal and Average Users....Pages 138-154
Constraining Word Embeddings by Prior Knowledge – Application to Medical Information Retrieval....Pages 155-167
Front Matter....Pages 169-169
Use of Microblog Behavior Data in a Language Modeling Framework to Enhance Web Search Personalization....Pages 171-183
A Joint Framework for Collaborative Filtering and Metric Learning....Pages 184-196
Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators....Pages 197-211
User Model Enrichment for Venue Recommendation....Pages 212-223
Learning Distributed Representations for Recommender Systems with a Network Embedding Approach....Pages 224-236
Factorizing Sequential and Historical Purchase Data for Basket Recommendation....Pages 237-248
Front Matter....Pages 249-249
Search Success Evaluation with Translation Model....Pages 251-266
Evaluating the Social Acceptability of Voice Based Smartwatch Search....Pages 267-278
Front Matter....Pages 249-249
How Precise Does Document Scoring Need to Be?....Pages 279-291
Front Matter....Pages 293-293
Noise Correction in Pairwise Document Preferences for Learning to Rank....Pages 295-301
Table Topic Models for Hidden Unit Estimation....Pages 302-307
Query Subtopic Mining Exploiting Word Embedding for Search Result Diversification....Pages 308-314
Assessing the Authors of Online Books in Digital Libraries Using Users Affinity....Pages 315-321
Reformulate or Quit: Predicting User Abandonment in Ideal Sessions....Pages 322-328
Learning to Rank with Likelihood Loss Functions....Pages 329-334
Learning to Improve Affinity Ranking for Diversity Search....Pages 335-341
An In-Depth Study of Implicit Search Result Diversification....Pages 342-348
Predicting Information Diffusion in Social Networks with Users’ Social Roles and Topic Interests....Pages 349-355
When MetaMap Meets Social Media in Healthcare: Are the Word Labels Correct?....Pages 356-362
Evaluation with Confusable Ground Truth....Pages 363-369
Back Matter....Pages 371-372