Titlebook: Information Retrieval; 23rd China conferenc Jirong Wen,Jianyun Nie,Tieyun Qian Conference proceedings 2017 Springer International Publishin

G-spot

Tripartite-Replicated Softmax Model for Document Representationsining the proposed models to learn better document representations. The proposed models can capture linear relationships among words and latent semantic information within documents simultaneously, thus learning both linear and nonlinear document representations. We examine the learned document repr

Dealing

A Normalized Framework Based on Multiple Relationships for Document Re-rankingh latent semantic model, then we incorporate the relationships between documents and words into a normalized framework to re-rank documents based on the initial retrieval results. Experimental results show that the method show significant improvements in comparison with other baseline methods.

广大

Obligatory

护航舰

0302-9743 July 2017. The 21 full papers presented were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections: recommendation; understanding users; NLP for IR; IR and applications; query processing and analysis..978-3-319-68698-1978-3-319-68699-8Series ISSN 0302-974

先行

Constructing Semantic Hierarchies via Fusion Learning Architecture-score of 74.20% with 91.60% precision-value, outperforming the state-of-the-art methods on a manually labeled test dataset. Subsequently, combining our method with manually-built hierarchies can further improve F1-score to 82.01%. Besides, the fusion learning architecture is language-independent.

IVORY

The Impact of Profile Coherence on Recommendation Performance for Shared Accounts on Smart TVstem-based collaborative filtering. Experiments conducted on a large-scale watch log on smart TVs conform that the profile coherence indeed impact the quality of recommendation lists in various aspects—accuracy, diversity and popularity.

INERT

Incorporating Position Bias into Click-Through Bipartite Graphhich express the effectiveness of spam URLs identification by label propagation algorithm and its improved methods. The experimental results demonstrate that the proposed methods work better than the baseline method.

Infantry

龙虾

How Users Select Query Suggestions Under Different Satisfaction States?In this paper, we conduct extensive user study with a search engine interface in order to investigate above problems. Through the user study, we gain a series of insightful findings which may benefit for the design of future search engine and query suggestion models.