A Proposed Upgrade to the Keyword Based Searches Essay

This process is two fold. First, the model learns the different aspects that are distributed over a set of decided words and also learn their scores. Second, the model forecasts the aspects of the user for an item for a future review. For the first step, a vector of user preferences of aspects of an item, a vector of aspects of an item are used. The Dot product of the two vectors are used for the prediction step.

More importantly, she mainly covers why Google is the most efficient search engine and how it operates more accurately than other engines and Web browsers. Kraft shares the same positive outlook on Google as the preferred search engine as is evidenced in this paper.

`Google’. It is complicated in the initial phase of searching process, when it does not have any

Competition in the search industry is high. There are several search engines available, albeit Google holds the top percentage. Some of Google’s opposing forces are Yahoo!, Bing, and MSN search. The strongest is competitive rivalry and the weakest is buyer power. There is a big rivalry amongst search engines in gaining the newest advances and best technology to suit the customer. Buyer power is weak because there is no substitute for an online search engine. You could use an encyclopedia or something of that nature, but with online search engines,

Discussion for search through websites. During my research through websites, I noticed that it is

had declined in December” (Windows news and tips). Yahoo also offers a directory for searching certain categories or subjects. It ranges from showing the searcher the top categories first and then a list of additional categories. Throughout the years Yahoo has gone from a text crazy, scattered information site to becoming more organized with where it sets its information on its website. Yahoo has really progressed over the years. Also, when searching on Yahoo there will also be a list of headings that may be similar to your search which are usually advertisements. Yahoo may not be the leading search engine in the world today but it has a lot of great features and many views take advantage of the search engine because it is very beneficial in many categories.

Keyword research is one of the important elements in SEO Campaign. It is in make or break stage i.e., if it is right then it takes to the top and vice verse. If it is then all of your efforts get useless. For that you need a keyword research tool to find the best keyword. In the past there is a keyword research tool called THE. This is the free keyword tool was provided by the Google. Unfortunately due to some reasons they stopped this good tool.

1Research Scholar, 2Associate Professor, Department of Computer Science, AIM & ACT, Banasthali University, Banasthali-304022, email: jangid.divya@gmail.com

Another method is context search. The context search adds context to the search criteria. “Context search helps improve the keyword search solution by addressing the problems present in keyword searches related to synonymy and polysemy. Synonymy is a common linguistic issue where different words are used to express the same concept, and polysemy is where the same word can have different meanings” (Fordham, 2013). The context search method combines several advance techniques in a simple user interface, making searches

As data continues to grow exponentially, machine learning will be critical for refining the relevance of search results. Using the Solr Learning to Rank toolkit, you can train search model algorithms offline, in a batch mode, using training data. When training the algorithm, you can use the supervisory mode and have more manual input into training the data or use a more data-driven approach and learn from the data signals. By running these signals through the Learning to Rank toolkit, it will learn and rank product results based on behaviors such as products that are purchased should rank higher in the search results than products that only receive page views.

Since 1998, Google has been the premier search engine when it comes to desktop home computing. Google allows users to search the internet for any key phrase they can imagine, providing ranked results based on a combination of popularity and relevance. After 18 years, Google is still utterly dominating its nearest rivals. With 3.5 billion searches performed per day worldwide (on average) and a typical 75% (or more) yearly market share, it doesn 't look like the California tech titan will be disappearing any time soon.

Abstract — Keyword search is a useful tool for searching large corpuses whose structure is either unknown or constantly changing.RDF is the first W3C standard for enriching information resources of the web with detailed meta data. RDF can be modeled as a directed graph, where nodes are subjects/objects, and edge labels are predicates. The keyword search against an RDF graph looks for a sub graph that has minimum length to connect all the keywords from the common node. The existing approaches for searching is, keywords are mapped to nodes in the graph and their neighborhoods are explored to extract sub graph .Sometimes it lead to zero or less number of subgraphs.To address this issue, we propose a reverse method for searching. The experiment on RDF data shows that proposed method is more efficient.

In Li et al. [2007], independent models for long-term and short-term user preferences are proposed to compose the user profiles. The long-term preferences are captured by using Google Directory, while the short-term preferences are determined from the user’s document preferences (the most frequently browsed documents).

Search engine optimization, or SEO, has long been a staple website traffic. If you want to rank well on search engines, you’ve always needed to play nice with the rules that Google, Bing and the gang have set out.

While in search engines user give words key and that search engine compiled such keywords from web page into database which user could query. These search engines continuously update their information to provides the accurate and actual result of users search. Example of search engines includes alta vista,lucos and excite.