scholarly journals Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents

2018 ◽  
pp. 290-303
Author(s):  
Ahmed Saleh ◽  
Tilman Beck ◽  
Lukas Galke ◽  
Ansgar Scherp
Keyword(s):  
Full Text ◽  
Ad Hoc ◽  
Performance Comparison ◽  
Retrieval Models ◽  
Ad Hoc Retrieval

Clear and Private Ad Hoc Retrieval Models on Web Data

2019 ◽  
pp. 194-211
Author(s):  
Souria Ortiga
Keyword(s):  
Ad Hoc ◽  
Digital Information ◽  
Retrieval Models ◽  
Efficient Access ◽  
Ad Hoc Retrieval ◽  
The Relationship ◽  
Source Of Information ◽  
Automated Methods ◽  
Search Information ◽  
Information Today

During the 1980s, and despite its maturity, the search information (RI) was only intended for librarians and experts in the field of information. Such tendentious vision prevailed for many years. Since the mid-90s, the web has become an increasingly crucial source of information , which has a renewed interest in IR. In the last decade, the popularization of computers, the terrible explosion in the amount of unstructured data, internal documents, and corporate collections, and the huge and growing number of internet document sources have deeply shaken the relationship between man and information. Today, a great change has taken place, and the RI is often used by billions of people around the world. Simply, the need for automated methods for efficient access to this huge amount of digital information has become more important, and appears as a necessity.

A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval

2022 ◽  
Vol 40 (3) ◽  
pp. 1-37
Author(s):  
Edward Kai Fung Dang ◽  
Robert Wing Pong Luk ◽  
James Allan
Keyword(s):  
Ad Hoc ◽  
Retrieval Model ◽  
Ranking Functions ◽  
Retrieval Models ◽  
Document Ranking ◽  
Reproducibility Study ◽  
Wide Range ◽  
Models Comparison ◽  
Ad Hoc Retrieval ◽  
Leading Term

In Information Retrieval, numerous retrieval models or document ranking functions have been developed in the quest for better retrieval effectiveness. Apart from some formal retrieval models formulated on a theoretical basis, various recent works have applied heuristic constraints to guide the derivation of document ranking functions. While many recent methods are shown to improve over established and successful models, comparison among these new methods under a common environment is often missing. To address this issue, we perform an extensive and up-to-date comparison of leading term-independence retrieval models implemented in our own retrieval system. Our study focuses on the following questions: (RQ1) Is there a retrieval model that consistently outperforms all other models across multiple collections; (RQ2) What are the important features of an effective document ranking function? Our retrieval experiments performed on several TREC test collections of a wide range of sizes (up to the terabyte-sized Clueweb09 Category B) enable us to answer these research questions. This work also serves as a reproducibility study for leading retrieval models. While our experiments show that no single retrieval model outperforms all others across all tested collections, some recent retrieval models, such as MATF and MVD, consistently perform better than the common baselines.

Performance Comparison of MANET, VANET and FANET

2018 ◽  
Vol 8 (5) ◽  
pp. 132
Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Wireless Network ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Comparison ◽  
Fuzzy Rules ◽  
Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

scholarly journals PERFORMANCE COMPARISON WITH ACCESSIBILITY PREDICTION AND LINK BREAKAGE PREDICTION IN MANETS

2015 ◽  
pp. 48-54
Author(s):  
TEJAL ARVIND SONAWALE ◽  
SHIKHA NEMA
Keyword(s):  
Ad Hoc ◽  
Power Level ◽  
Performance Comparison ◽  
Delivery Ratio ◽  
Route Discovery ◽  
Network Resources ◽  
Average Delay ◽  
Network Bandwidth ◽  
Multiple Routes ◽  
Hoc Networks

Ad Hoc Networks face a lot of problems due to issues like mobility, power level, load of the network, bandwidth constraints, dynamic topology which lead to link breaks, node break down and increase in overhead. As nodes are changing their position consistently, routes are rapidly being disturbed, thereby generating route errors and new route discoveries. The need for mobility awareness is widely proclaimed. In our dissertation we present a scheme AOMDV-APLP that makes AOMDV aware of accessibility of neighbor nodes in the network. Nodes acquire the accessibility information of other nodes through routine routing operations and keep in their routing table. Based on this information route discovery is restricted to only “accessible” and “start” nodes. Further route with the strongest signal strength is selected from multiple routes using Link life value predicted by Link Breakage prediction technique. Simulation result shows that using accessibility and link life knowledge in route discovery process MAC overhead, routing overhead and average delay is reduced 3 times, and improve the Packet delivery ratio to a large extent than standard AOMDV which reflects effective use of network resources.

Sign in / Sign up

Export Citation Format

Share Document