Search Results - "Graph based ranking algorithm"

Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm by Salim, Naomie, Naeem, Muhammad, Zeb, Asim, Biswal, R. R., Zareei, Mahdi, Gul, Muhammad Adnan, Khan, Atif, Saeed, Yousaf

“…With the growing information on web, online movie review is becoming a significant information resource for Internet users. However, online users post…”
Get full text

Folkommender: a group recommender system based on a graph-based ranking algorithm by Kim, Heung-Nam, Bloess, Mark, El Saddik, Abdulmotaleb

“…With the rapid popularity of smart devices, users are easily and conveniently accessing rich multimedia content. Consequentially, the increasing need for…”
Get full text

Folkommender: a group recommender system based on a graph-based ranking algorithm: Social Recommendation and Delivery Systems for Video and TV Content by KIM, Heung-Nam, BLOESS, Mark, EL SADDIK, Abdulmotaleb

Get full text

Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features by Zhang, Zhihao, Liang, Xinnian, Zuo, Yuan, Lin, Chenghua

“…Existing unsupervised keyphrase extraction methods typically emphasize the importance of the candidate keyphrase itself, ignoring other important factors such…”
Get full text

Abstractive Text Summarization based on Improved Semantic Graph Approach by Khan, Atif, Salim, Naomie, Farman, Haleem, Khan, Murad, Jan, Bilal, Ahmad, Awais, Ahmed, Imran, Paul, Anand

“…The goal of abstractive summarization of multi-documents is to automatically produce a condensed version of the document text and maintain the significant…”
Get full text

SRRank: Leveraging Semantic Roles for Extractive Multi-Document Summarization by Yan, Su, Wan, Xiaojun

“… One of the most popular ranking algorithms is the graph-based ranking algorithm. In this paper, we investigate making use of semantic role information to enhance the graph-based ranking algorithm for multi-document summarization…”
Get full text

An Effective Approach for Abstractive Text Summarization using Semantic Graph Model by Selvan, R Senthamizh, Arutchelvan, K

“…Keywords Text summarization, Multi-document abstractive summarization, Semantic graph model, Sentence embedding, Graph-based ranking algorithm (ProQuest…”
Get full text

A document-sensitive graph model for multi-document summarization by Wei, Furu, Li, Wenjie, Lu, Qin, He, Yanxiang

“…In recent years, graph-based models and ranking algorithms have drawn considerable attention from the extractive document summarization community. Most…”
Get full text

US Patent Issued to Kodak Alaris on July 1 for "Method for searching a database using query images and an image anchor graph-based ranking algorithm" (New York Inventors)

Get full text

A query expansion based on sentence and vector integration strategy by Min Peng, Ming Yang, Songtao Sun, Hua Long, Ghani, N., Bin Ni

“… The scheme uses a graph-based ranking algorithm to choose sentences in a manner which is different from existing sentence-based query expansion methods…”
Get full text

Generalized comparison of graph-based ranking algorithms for publications and authors by Sidiropoulos, Antonis, Manolopoulos, Yannis

“…Citation analysis helps in evaluating the impact of scientific collections (journals and conferences), publications and scholar authors. In this paper we…”
Get full text

Auditing the Sensitivity of Graph-based Ranking with Visual Analytics by Xie, Tiankai, Ma, Yuxin, Tong, Hanghang, Thai, My T., Maciejewski, Ross

“…Graph mining plays a pivotal role across a number of disciplines, and a variety of algorithms have been developed to answer who/what type questions. For…”
Get full text

A Comparative Study on Graph-based Ranking Algorithms for Consumer-oriented Demand Side Management by Onile, Abiodun E., Belikov, Juri, Petlenkov, Eduard, Levron, Yoash

“…In the recent years, the impact of urban climate change and ever-expanding needs for electricity energy calls for urgent attention. Generally, electricity can…”
Get full text

Beyond buzzwords: NLP reveals common threads in sustainable and circular construction discourse by Aubakirov, Shakarim, Pak, Alexandr, Akhmetov, Iskander, Tleuken, Aidana, Varol, Huseyin Atakan, Akzhalova, Assel, Karaca, Ferhat

“… To achieve this, we employed three NLP methods: (1) TextRank, a graph-based ranking algorithm…”
Get full text

Ranking of Bangla word graph using graph based ranking algorithms by Rafiuddin, S. M.

“… It is also useful to determine the relative importance of a word among the word graph. In this research, the ranking of Bangla words are calculated representing Bangla words from a text in a word graph using various graph based ranking algorithms…”
Get full text

GKEEP: An Enhanced Graph‐Based Keyword Extractor With Error‐Feedback Propagation for Geoscience Reports by Qiu, Qinjun, Xie, Zhong, Xie, Hong, Wang, Bin

“…As the amount of published geoscience literature grows, reading and summarizing texts of large collections has become a challenging task. Publication keywords…”
Get full text

Deep learning based QoE evaluation for internet video by Yue, Ting, Wang, Hongbo, Cheng, Shiduan, Shao, Jie

“…The issue of quality of experience (QoE) evaluation in Internet video is challenging for mainly two facts. One is the sophisticated interactions between…”
Get full text

Using only cross-document relationships for both generic and topic-focused multi-document summarizations by Wan, Xiaojun

“…-focused summarization. The contributions of this study are two-fold: (1) For generic multi-document summarization, we apply the graph-based ranking algorithm based…”
Get full text

A Pattern Driven Graph Ranking Approach to Attribute Extraction for Knowledge Graph by Yang, Muyun, Chen, Kehai, Sun, Shuqi, Han, Zhongyuan, Kong, Leilei, Meng, Qingye

“…Attribution extraction refers to find the attributes for the instances of a given semantic class, which is essential to enhance the schema of a knowledge…”
Get full text

Improved Graph-Based Arabic Hotel Review Summarization Using Polarity Classification by Amoudi, Ghada, Almansour, Amal, Alghamdi, Hanan Saleh

“…’ polarity and sentiment aspects and employs a graph-based ranking algorithm, TextRank. We demonstrate the advantages of the proposed methods through a set of experiments using hotel reviews from Booking.com…”
Get full text