Ranking Documents with Query-Topic Sensitivity

被引：0

作者：

Hatakenaka, Shota ^{[1
]}

Shimada, Satoshi ^{[2
]}

Miura, Takao ^{[1
]}

机构：

[1] Hosei Univ, Dept Elect & Elect Engn, Tokyo, Japan

[2] Hosei Univ, Res Ctr Micronano Technol, Tokyo, Japan

来源：

2012 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY WORKSHOPS (WI-IAT WORKSHOPS 2012), VOL 3 | 2012年

关键词：

D O I：

10.1109/WI-IAT.2012.207

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, we discuss Query-Topic Sensitive Ranking algorithm, called Topic-Driven PageRank (TDPR), to inquire general documents based on a notion of importance. The main idea is that we extract knowledge from training data for multiple classification and build characteristic feature for each topic. By this approach, we get documents reflecting queries and topics within so that we can improve query results and to avoid topicdrift problems.

引用

页码：195 / 199

页数：5

共 50 条

[1] Query-topic focused web pages summarization
Yoo, Seung Yeol
Hoffmann, Achim
PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4099 : 533 - 543
[2] Improved Query-Topic Models Using Pseudo-Relevant Polya Document Models
Cummins, Ronan
ICTIR'17: PROCEEDINGS OF THE 2017 ACM SIGIR INTERNATIONAL CONFERENCE THEORY OF INFORMATION RETRIEVAL, 2017, : 101 - 108
[3] Query and Topic Sensitive PageRank for General Documents
Hatakenaka, Shota
Miura, Takao
2012 14TH IEEE INTERNATIONAL SYMPOSIUM ON WEB SYSTEMS EVOLUTION (WSE), 2012, : 97 - 101
[4] Relevance & Assessment: Cognitively Motivated Approach toward Assessor-Centric Query-Topic Relevance Model
Haddad, Bassam
ACTA POLYTECHNICA HUNGARICA, 2018, 15 (05) : 129 - 148
[5] Query-driven Segment Selection for Ranking Long Documents
Kim, Youngwoo
Rahimi, Razieh
Bonab, Hamed
Allan, James
PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021, 2021, : 3147 - 3151
[6] Topic search ranking algorithm based on user's query intent
Zhao, D. (zhaodexin@gmail.com), 2013, Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States (09):
[7] Re-ranking Documents Based on Query-Independent Document Specificity
Zheng, Lei
Cox, Ingemar J.
FLEXIBLE QUERY ANSWERING SYSTEMS: 8TH INTERNATIONAL CONFERENCE, FQAS 2009, 2009, 5822 : 201 - 214
[8] A novel approach for ranking web documents based on query-optimized personalized pagerank
Rajendra Kumar Roul
Jajati Keshari Sahoo
International Journal of Data Science and Analytics, 2021, 11 : 37 - 55
[9] A novel approach for ranking web documents based on query-optimized personalized pagerank
Roul, Rajendra Kumar
Sahoo, Jajati Keshari
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 2021, 11 (01) : 37 - 55
[10] Research Paper Search Using a Topic-Based Boolean Query Search and a General Query-Based Ranking Model
Fukuda, Satoshi
Tomiura, Yoichi
Ishita, Emi
DATABASE AND EXPERT SYSTEMS APPLICATIONS, PT II, 2019, 11707 : 65 - 75

← 1 2 3 4 5 →