Comparison of Two “Document Similarity Search Engines”
نویسندگان
چکیده
We have developed and used the “CDS document map” based on neural networks (Kohonen maps) http://simbad.u-strasbg.fr/A+A/map.pl In this self-organizing map, documents are gradually clustered by subject themes. The tool is based on keywords associated with the documents. For one selected document, we locate it on the CDS document map and retrieve articles clustered in the same area. The second search engine, used by the ADS1, has the capability to find all similar abstracts in the ADS database, with “keyword request”. We have compared the results of the document similarity search engines, using the same set of documents. One example will be described and results will be discussed.
منابع مشابه
An Ensemble Click Model for Web Document Ranking
Annually, web search engine providers spend more and more money on documents ranking in search engines result pages (SERP). Click models provide advantageous information for ranking documents in SERPs through modeling interactions among users and search engines. Here, three modules are employed to create a hybrid click model; the first module is a PGM-based click model, the second module in a d...
متن کاملارزیابی خودکار جویش‌گرهای ویدئویی حوزه وب فارسی بر اساس تجمیع آرا
Today, the growth of the internet and its high influence in individuals’ life have caused many users to solve their daily needs by search engines and hence, the search engines need to be modified and continuously improved. Therefore, evaluating search engines to determine their performance is of paramount importance. In Iran, as well as other countries, extensive researches are being performed ...
متن کاملDocument Similarity Judgment for Interactive Document Clustering
This paper investigates the task of document similarity judgment for interactive document clustering. We suppose one of the promising approaches for developing next generation of web search engines is to incorporate user feedback mechanism into constrained clustering. As a basis for designing such search engines, it is important to study the interface design that can reduce user' burden of givi...
متن کاملمدل جدیدی برای جستجوی عبارت بر اساس کمینه جابه‌جایی وزن‌دار
Finding high-quality web pages is one of the most important tasks of search engines. The relevance between the documents found and the query searched depends on the user observation and increases the complexity of ranking algorithms. The other issue is that users often explore just the first 10 to 20 results while millions of pages related to a query may exist. So search engines have to use sui...
متن کاملA Novel Architecture for Detecting Phishing Webpages using Cost-based Feature Selection
Phishing is one of the luring techniques used to exploit personal information. A phishing webpage detection system (PWDS) extracts features to determine whether it is a phishing webpage or not. Selecting appropriate features improves the performance of PWDS. Performance criteria are detection accuracy and system response time. The major time consumed by PWDS arises from feature extraction that ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1998